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Sources
38
16 strong · 18 moderate · 4 weak

Studies and references cited across this article, graded by evidence strength.

Claims checked
67
54verified3partial9inconclusive1not supported

Inconclusive means the cited source neither confirms nor refutes the claim — a lower-confidence badge, not an error.

Generated
May 9, 2026 · pipeline-v5
Values approved
108/108 (100%)

Data points an editor reviewed and accepted for publication.

01

Value Provenance

Dosing

oraltrace

FieldPublishedAI ProposedConfidence
Threshold3 mg3 mgmedium
Low5–10 mg5–10 mgmedium
Common10–25 mg10–25 mgmedium
Strong25–40 mg25–40 mgmedium
Heavy40+ mg40+ mgmedium
Editorial

Values from existing DB seed data (Threshold: 3 mg; Light: 5–10 mg; Common: 10–25 mg; Strong: 25–40 mg; Heavy: 40+ mg). These reflect recreational/psychoactive context rather than clinical starting doses (clinical naive start = 5 mg). Pharmacologically plausible for a moderate-affinity MOR agonist equianalgesic with oral morphine at 1:1 ratio. No specific primary study validates these exact thresholds; values are consistent with opioid class pharmacology and community-derived data.

Reasoning

Values from existing DB seed data (Threshold: 3 mg; Light: 5–10 mg; Common: 10–25 mg; Strong: 25–40 mg; Heavy: 40+ mg). These reflect recreational/psychoactive context rather than clinical starting doses (clinical naive start = 5 mg). Pharmacologically plausible for a moderate-affinity MOR agonist equianalgesic with oral morphine at 1:1 ratio. No specific primary study validates these exact thresholds; values are consistent with opioid class pharmacology and community-derived data.

Evidence basis: community_consensus_large

Duration

oral

FieldPublishedAI ProposedConfidence
Onsettrace10–60 minutes10–60 minutesmedium
Editorial

From seed data (10–60 minutes). Consistent with expected IR oral opioid absorption kinetics but not confirmed from a specific hydrocodone IR PK primary source.

Reasoning

From seed data (10–60 minutes). Consistent with expected IR oral opioid absorption kinetics but not confirmed from a specific hydrocodone IR PK primary source.

Evidence basis: community_consensus_large

Come uptrace15–45 minutes15–45 minuteslow
Editorial

Inferred from IR opioid class pharmacokinetics; expected Tmax of 1–2 hours places the come_up phase at approximately 15–45 minutes. No hydrocodone-specific come_up data from primary sources.

Reasoning

Inferred from IR opioid class pharmacokinetics; expected Tmax of 1–2 hours places the come_up phase at approximately 15–45 minutes. No hydrocodone-specific come_up data from primary sources.

Evidence basis: structural_analogy

Peaktrace1–3 hours1–3 hourslow
Editorial

Inferred from IR opioid class PK (expected Tmax 1–2 hours; peak duration estimated 1–3 hours around Tmax). No hydrocodone-specific peak duration data from primary sources.

Reasoning

Inferred from IR opioid class PK (expected Tmax 1–2 hours; peak duration estimated 1–3 hours around Tmax). No hydrocodone-specific peak duration data from primary sources.

Evidence basis: structural_analogy

Offsettrace1–2 hours1–2 hourslow
Editorial

Inferred from IR opioid class pharmacokinetics. Elimination half-life of 8.4–8.5 hours (ER formulation; IR expected shorter) supports a gradual offset of 1–2 hours.

Reasoning

Inferred from IR opioid class pharmacokinetics. Elimination half-life of 8.4–8.5 hours (ER formulation; IR expected shorter) supports a gradual offset of 1–2 hours.

Evidence basis: structural_analogy

Totaltrace4–8 hours4–8 hoursmedium
Editorial

From seed data (4–8 hours). Consistent with IR opioid kinetics and CDC prescribing guidance for short-acting opioid analgesics. Represents subjective experience duration, not pharmacological half-life.

Reasoning

From seed data (4–8 hours). Consistent with IR opioid kinetics and CDC prescribing guidance for short-acting opioid analgesics. Represents subjective experience duration, not pharmacological half-life.

Evidence basis: community_consensus_large

After effectstrace2–6 hours2–6 hourslow
Editorial

Inferred from opioid class pharmacology. Residual sedation, cognitive impairment, and constipation persist beyond subjective experience offset. No hydrocodone-specific aftereffects duration data.

Reasoning

Inferred from opioid class pharmacology. Residual sedation, cognitive impairment, and constipation persist beyond subjective experience offset. No hydrocodone-specific aftereffects duration data.

Evidence basis: structural_analogy

Safety

Toxicity Profiletrace

FieldPublishedAI ProposedConfidence
Acutehighhighhigh
Chronichighhighhigh
Organs Affectedpulmonary, hepatic, central nervous systempulmonary, hepatic, central nervous systemhigh
Editorial

Acute toxicity is high: dose-dependent respiratory depression progressing to apnea and death is well-documented in forensic (Dolinak 2017) and epidemiological (Paulozzi 2006) literature. No human LD50 exists but opioid overdose mortality data is extensive. Chronic toxicity is high: dependence, tolerance, opioid-induced hyperalgesia, endocrine disruption, and cognitive impairment are documented across the opioid class with large human datasets. Hepatic organ involvement reflects APAP component, not hydrocodone itself — distinction noted per Phase 1 work-notes.

Reasoning

Acute toxicity is high: dose-dependent respiratory depression progressing to apnea and death is well-documented in forensic (Dolinak 2017) and epidemiological (Paulozzi 2006) literature. No human LD50 exists but opioid overdose mortality data is extensive. Chronic toxicity is high: dependence, tolerance, opioid-induced hyperalgesia, endocrine disruption, and cognitive impairment are documented across the opioid class with large human datasets. Hepatic organ involvement reflects APAP component, not hydrocodone itself — distinction noted per Phase 1 work-notes.

Evidence basis: published_case_series

Dependence Profiletrace

FieldPublishedAI ProposedConfidence
Physicalmoderatemoderatehigh
Psychologicalmoderatemoderatehigh
Compulsive Redosingmoderatemoderatehigh
Dose Escalationhighhighhigh
Editorial

Physical and psychological dependence rated moderate per seed data and work-notes, consistent with Schedule II full MOR agonist profile. Dose escalation tendency rated high (upgraded from work-notes 'moderate-high') because tolerance drives analgesic/euphoric dose escalation while constipation/miosis tolerance lags — documented in opioid class literature and the Farrar et al. finding that only 44.5% maintain dose stability over 12 months.

Reasoning

Physical and psychological dependence rated moderate per seed data and work-notes, consistent with Schedule II full MOR agonist profile. Dose escalation tendency rated high (upgraded from work-notes 'moderate-high') because tolerance drives analgesic/euphoric dose escalation while constipation/miosis tolerance lags — documented in opioid class literature and the Farrar et al. finding that only 44.5% maintain dose stability over 12 months.

Evidence basis: controlled_human_study

Withdrawal Profiletrace

FieldPublishedAI ProposedConfidence
Severitymoderatemoderatehigh
Symptomsanxiety, insomnia, muscle pain, nausea, vomiting, diarrhea, diaphoresis, piloerection, lacrimation, rhinorrhea, yawning, tachycardiaanxiety, insomnia, muscle pain, nausea, vomiting, diarrhea, diaphoresis, piloerection, lacrimation, rhinorrhea, yawning, tachycardiahigh
FatalNoNohigh
Medical SupervisionNot requiredNot requiredhigh
Editorial

Opioid withdrawal is intensely aversive but rarely life-threatening in otherwise healthy individuals — distinct from alcohol/benzodiazepine withdrawal which carry seizure/mortality risk. Onset 6–12 hours after last short-acting dose; acute phase 5–7 days; protracted symptoms (dysphoria, insomnia, cravings) may persist weeks to months. Symptoms reflect rebound sympathetic activation from adenylyl cyclase superactivation upon MOR agonist withdrawal.

Reasoning

Opioid withdrawal is intensely aversive but rarely life-threatening in otherwise healthy individuals — distinct from alcohol/benzodiazepine withdrawal which carry seizure/mortality risk. Onset 6–12 hours after last short-acting dose; acute phase 5–7 days; protracted symptoms (dysphoria, insomnia, cravings) may persist weeks to months. Symptoms reflect rebound sympathetic activation from adenylyl cyclase superactivation upon MOR agonist withdrawal.

Evidence basis: controlled_human_study

Tolerance Profiletrace

FieldPublishedAI ProposedConfidence
Buildupmoderatemoderatemedium
Half-life5 days5 daysmedium
Full Reset10 days10 daysmedium
Cross-tolerancesmorphine, oxycodone, heroin, fentanyl, methadone, hydromorphone, codeine, tramadolmorphine, oxycodone, heroin, fentanyl, methadone, hydromorphone, codeine, tramadolmedium
Editorial

Tolerance buildup rated 'moderate' per work-notes — develops with prolonged use but not after a single dose. Timeline values (5-day half-life, 10-day full reset) carried forward from seed data; flagged as structural inference per Phase 1 notes since no hydrocodone-specific tolerance kinetic studies were identified.

Reasoning

Tolerance buildup rated 'moderate' per work-notes — develops with prolonged use but not after a single dose. Timeline values (5-day half-life, 10-day full reset) carried forward from seed data; flagged as structural inference per Phase 1 notes since no hydrocodone-specific tolerance kinetic studies were identified.

Evidence basis: structural_analogy

Effects & Profile

Contraindications

FieldPublishedAI ProposedConfidence
respiratory Severe respiratory depression or acute bronchial asthmatraceabsoluteabsolutehigh
Editorial

Established lethal mechanism documented in forensic autopsy literature (Dolinak 2017) and epidemiological data. Standard package-insert-level absolute contraindication for all full MOR agonists.

Reasoning

Established lethal mechanism documented in forensic autopsy literature (Dolinak 2017) and epidemiological data. Standard package-insert-level absolute contraindication for all full MOR agonists.

immunological Known hypersensitivity to hydrocodonetraceabsoluteabsolutehigh
Editorial

Standard absolute contraindication for any drug with documented hypersensitivity reactions. Anaphylaxis risk precludes re-exposure.

Reasoning

Standard absolute contraindication for any drug with documented hypersensitivity reactions. Anaphylaxis risk precludes re-exposure.

psychiatric Concurrent or recent MAOI use (within 14 days)traceabsoluteabsolutemedium
Editorial

Standard class-level absolute contraindication for opioid-MAOI combinations. Mechanism not fully characterized for hydrocodone specifically; confidence medium reflects this gap.

Reasoning

Standard class-level absolute contraindication for opioid-MAOI combinations. Mechanism not fully characterized for hydrocodone specifically; confidence medium reflects this gap.

neurological Head injury or elevated intracranial pressuretracerelativerelativehigh
Editorial

Well-established opioid class contraindication supported by neurosurgical and emergency medicine literature. Applies to all full MOR agonists.

Reasoning

Well-established opioid class contraindication supported by neurosurgical and emergency medicine literature. Applies to all full MOR agonists.

hepatic Hepatic impairmenttracerelativerelativehigh
Editorial

CYP3A4 and CYP2D6 are both hepatic enzymes; impairment alters hydrocodone disposition with clinically unpredictable consequences. Supported by pharmacokinetic literature (Hutchinson 2004, Kapil 2015).

Reasoning

CYP3A4 and CYP2D6 are both hepatic enzymes; impairment alters hydrocodone disposition with clinically unpredictable consequences. Supported by pharmacokinetic literature (Hutchinson 2004, Kapil 2015).

metabolic CYP2D6 ultra-rapid metabolizer statustracerelativerelativehigh
Editorial

CYP2D6 pharmacogenomics strongly modulates hydrocodone's pharmacology. Cavallari et al. (2026) and Nahid et al. (2025) demonstrate clinical consequences of metabolizer status variation. Hosseinnejad et al. (2019) confirmed hydromorphone as the principal analgesic mediator.

Reasoning

CYP2D6 pharmacogenomics strongly modulates hydrocodone's pharmacology. Cavallari et al. (2026) and Nahid et al. (2025) demonstrate clinical consequences of metabolizer status variation. Hosseinnejad et al. (2019) confirmed hydromorphone as the principal analgesic mediator.

pregnancy breastfeeding Pregnancytracerelativerelativehigh
Editorial

NOWS is well-documented with opioid class exposure. Shendre et al. identified specific maternal pharmacokinetic data gaps for hydrocodone. Supported by clinical literature and FDA pregnancy warnings.

Reasoning

NOWS is well-documented with opioid class exposure. Shendre et al. identified specific maternal pharmacokinetic data gaps for hydrocodone. Supported by clinical literature and FDA pregnancy warnings.

respiratory Concurrent benzodiazepine or CNS depressant usetracerelativerelativehigh
Editorial

Strong published evidence from Fields et al. (2015) and Jann et al. (2014). FDA black-box warning. Flagged as a safety gap in the seed data by Phase 1 research.

Reasoning

Strong published evidence from Fields et al. (2015) and Jann et al. (2014). FDA black-box warning. Flagged as a safety gap in the seed data by Phase 1 research.

other Biliary tract disease or acute pancreatitistracerelativerelativemedium
Editorial

Well-established opioid class effect on sphincter of Oddi. Applies to all full MOR agonists. Class-level evidence; no hydrocodone-specific sphincter of Oddi studies identified.

Reasoning

Well-established opioid class effect on sphincter of Oddi. Applies to all full MOR agonists. Class-level evidence; no hydrocodone-specific sphincter of Oddi studies identified.

renal Severe renal impairmenttracerelativerelativemedium
Editorial

Standard opioid class contraindication. Hydrocodone metabolites are renally cleared; impairment alters elimination kinetics. Class-level pharmacokinetic reasoning.

Reasoning

Standard opioid class contraindication. Hydrocodone metabolites are renally cleared; impairment alters elimination kinetics. Class-level pharmacokinetic reasoning.

other Paralytic ileus or gastrointestinal obstructiontraceabsoluteabsolutelow
Editorial

Class-level absolute contraindication for all opioids. Listed in work-notes as a class-level contraindication that applies to hydrocodone.

Reasoning

Class-level absolute contraindication for all opioids. Listed in work-notes as a class-level contraindication that applies to hydrocodone.

Timeline Phases

oral

FieldPublishedAI ProposedConfidence
Peaktrace3600–10800 sec(i=1.00)3600–10800 sec(i=1.00)medium
Editorial

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Reasoning

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Evidence basis: community_consensus_large

Resolutiontrace3600–7200 sec(i=0.40)3600–7200 sec(i=0.40)medium
Editorial

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Reasoning

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Evidence basis: community_consensus_large

Onsettrace600–3600 sec(i=0.20)600–3600 sec(i=0.20)medium
Editorial

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Reasoning

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Evidence basis: community_consensus_large

Come uptrace900–2700 sec(i=0.50)900–2700 sec(i=0.50)medium
Editorial

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Reasoning

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Evidence basis: community_consensus_large

Afterglowtrace7200–21600 sec(i=0.15)7200–21600 sec(i=0.15)medium
Editorial

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Reasoning

Onset (10–60 min) and total (4–8 hours) from seed data; come_up, peak, and offset durations inferred from IR opioid class pharmacokinetics (expected Tmax 1–2 hours). Afterglow duration inferred from class. Phase 1 work-notes specified onset/come_up/peak/offset/afterglow as applicable phases. 'Offset' mapped to 'resolution' per schema enum.

Evidence basis: community_consensus_large

Dose Tier Summaries

thresholdtrace
medium

At approximately 3 mg oral, threshold effects are barely perceptible. A subtle warmth may be noticed, along with a faint lift in mood and slight attenuation of background pain. Most users would not identify the experience as distinctly psychoactive. There is no meaningful sedation or cognitive impairment at this level. Physical effects are minimal — slight pupil constriction may be detectable but no significant constipation, nausea, or respiratory effects are expected. Body high is absent or negligible. This dose is well below standard clinical starting doses (5 mg) and produces effects that may be indistinguishable from placebo in many individuals. CYP2D6 poor metabolizers are particularly unlikely to notice any effect at this level.

Editorial

Work-notes threshold summary: 3 mg oral produces barely perceptible effects. Consistent with seed data threshold and pharmacological expectations for a moderate-affinity MOR agonist at sub-clinical doses.

Reasoning

Work-notes threshold summary: 3 mg oral produces barely perceptible effects. Consistent with seed data threshold and pharmacological expectations for a moderate-affinity MOR agonist at sub-clinical doses.

Evidence basis: community_consensus_large

lighttrace
medium

At 5–10 mg oral, noticeable analgesia and mild anxiolysis emerge. A gentle warmth spreads through the body, accompanied by mild cognitive euphoria and a sense of contentment. Slight sedation is present but functional impairment remains minimal. First-time users without prior opioid exposure may experience more pronounced effects due to absence of tolerance. Physically, mild constipation and nausea are possible, particularly in opioid-naive individuals. Pupil constriction becomes visible. A light body high — diffuse warmth and tactile comfort — may be noticed. Respiratory effects remain clinically insignificant at this range. This range encompasses typical clinical starting doses. CYP2D6 metabolizer status begins to influence the experience: extensive metabolizers may feel more analgesia and euphoria through greater hydromorphone conversion, while poor metabolizers experience predominantly sedation.

Editorial

Work-notes light tier outline expanded with CYP2D6 context from article pharmacology section. 5–10 mg aligns with clinical starting doses and seed light range.

Reasoning

Work-notes light tier outline expanded with CYP2D6 context from article pharmacology section. 5–10 mg aligns with clinical starting doses and seed light range.

Evidence basis: community_consensus_large

commontrace
medium

At 10–25 mg oral, the full opioid effect profile manifests. Clear cognitive euphoria, significant pain suppression, moderate sedation, and pronounced anxiety suppression characterize this range. A warm, enveloping body high with tactile euphoria becomes the dominant physical sensation. Thought deceleration and focus suppression are noticeable — driving and complex cognitive tasks are meaningfully impaired. Nausea is common, especially in opioid-naive users or during dose escalation. Constipation is likely at repeated doses. Pupil constriction is clearly visible. Itching and flushing from histamine release may occur. Spontaneous body sensations — warmth radiating through the trunk and limbs — are characteristic. Respiratory depression is present but generally subclinical in healthy individuals without CNS depressant co-ingestion. Emotional suppression and motivation suppression may become noticeable. Total duration is typically 4–8 hours. Combination products containing acetaminophen impose an independent hepatotoxicity ceiling regardless of opioid tolerance — do not exceed acetaminophen daily limits.

Editorial

Work-notes common tier outline expanded with effects taxonomy names and APAP ceiling warning. Represents the primary recreational/supratherapeutic range from seed data.

Reasoning

Work-notes common tier outline expanded with effects taxonomy names and APAP ceiling warning. Represents the primary recreational/supratherapeutic range from seed data.

Evidence basis: community_consensus_large

strongtrace
medium

At 25–40 mg oral, pronounced sedation and intense euphoria dominate. A heavy bodily sensation settles in, with strong pain suppression and significant anxiety suppression. 'Nodding' — oscillating between wakefulness and drowsy semi-consciousness — is characteristic of this range. Cognitive impairment is substantial: decision-making, reaction time, and memory formation are all significantly affected. Nausea and vomiting become more likely. Respiratory depression reaches clinically significant levels in opioid-naive individuals — this is the dose range where overdose risk becomes material without established tolerance. Motor control impairment is pronounced. Physical fatigue and bodily heaviness are pervasive. This range exceeds clinical dosing for opioid-naive patients by a wide margin. The risk of respiratory depression is substantially elevated by any concurrent CNS depressant, including alcohol, benzodiazepines, or GHB/GBL. CYP2D6 ultra-rapid metabolizers face amplified risk at these doses due to excessive hydromorphone formation.

Editorial

Work-notes strong tier outline with respiratory depression warning and CYP2D6 context. 25–40 mg substantially exceeds naive clinical dosing; respiratory depression risk is the primary safety concern.

Reasoning

Work-notes strong tier outline with respiratory depression warning and CYP2D6 context. 25–40 mg substantially exceeds naive clinical dosing; respiratory depression risk is the primary safety concern.

Evidence basis: community_consensus_large

heavytrace
medium

At 40+ mg oral, this is a dangerous dose range in opioid-naive individuals. Severe respiratory depression — progressive suppression of breathing drive potentially culminating in apnea — is the primary lethal risk. Loss of consciousness is possible. This range approaches potentially fatal territory without established opioid tolerance. Combination with any CNS depressant at this dose dramatically increases fatality risk. Benzodiazepines, alcohol, GHB/GBL, and other sedating substances produce synergistic respiratory depression that can be lethal at doses that might otherwise be survivable alone. Naloxone access is critically important for anyone in proximity to use at this level. For combination products containing acetaminophen, doses in this range almost certainly exceed the hepatotoxic threshold (4 g/day acetaminophen), introducing acute liver failure as a second independent cause of death. No specific human LD50 data exists for hydrocodone; lethality at this range is inferred from class pharmacology and forensic autopsy data.

Editorial

Work-notes heavy tier outline with dual-risk framework (respiratory + APAP hepatotoxicity). Lethality claim flagged as safety-citation-needed per Phase 1 notes — no specific LD50 data exists.

Reasoning

Work-notes heavy tier outline with dual-risk framework (respiratory + APAP hepatotoxicity). Lethality claim flagged as safety-citation-needed per Phase 1 notes — no specific LD50 data exists.

Evidence basis: community_consensus_large

02

History

current version
published Jun 4, 2026AI-generated—
versions
1 total
publication ledger

backfill Jun 4, 2026

Historical versions do not record which reviewer approved them; editorial accountability is recorded per value in the database and in the publication ledger going forward.

03

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16 strong · 18 moderate · 4 weak
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    Murphy DL, Lebin JA, Severtson SG, Olsen HA, Dasgupta N, Dart RC · 2018 · Drug Safety
  31. [31]
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    Trends in Medical Use of Opioids in the U.S., 2006-2016
    Piper BJ, Shah DT, Simoyan OM, McCall KL, Nichols SD · 2018 · American Journal of Preventive Medicine
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    Petrilla A, Marrett E, Shen X, Kwong WJ, Pezalla E · 2020 · American Health & Drug Benefits
    pubmed 32165996no claims checked
  33. [33]
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    Opioid Toxicity
    Dolinak D · 2017 · Academic Forensic Pathology
    doi.org/10.23907/2017.003pubmed 312399532 claims checked1 verified1 inconclusive
  34. [34]
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    Medications for Opioid Use Disorder, Opioid Withdrawal, and Opioid Overdose: A Review.
    Harris MTH, Weinstein ZM, Walley AY · 2026 · JAMA
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    Benzodiazepines: a major component in unintentional prescription drug overdoses with opioid analgesics.
    Jann M, Kennedy WK, Lopez G · 2014 · Journal of pharmacy practice
    doi.org/10.1177/0897190013515001pubmed 244364373 claims checked1 verified1 inconclusive1 not supported
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    Fields MD, Abate MA, Hu L, Long DL, Blommel ML, Haikal NA, Kraner JC · 2015 · Journal of Forensic Sciences
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    Li J, Stokes SA, Woeckener A · 2023
    linkno claims checked
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    Mechanisms of tramadol-related neurotoxicity in the rat: Does diazepam/tramadol combination play a worsening role in overdose?
    Lagard C, Chevillard L, Malissin I, Risède P, Callebert J, Labat L, Launay JM, Laplanche JL, Mégarbane B · 2016 · Toxicology and Applied Pharmacology
04

Claim Verification

Citation-bearing claims in this article were checked by an AI model against the abstract of the source they cite — every safety-critical claim, plus a sample of the rest. Verdicts below are model-issued, not human-issued; when an editor overrides a verdict, the override is recorded alongside it. Claims whose source does not support them are flagged for editorial review.

summary5 claims4verified1partial
verifiedThe United States accounts for approximately 99% of global consumption[2]model confidence 98%
Verified

Abstract directly states US consumes ~99% of world's hydrocodone supply.

US consumes ~99% of world's hydrocodone supply.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHydrocodone ((4R,4aR,7aR,12bS)-9-methoxy-3-methyl-1,2,4,4a,5,6,7a,13-octahydro-4,12-methanobenzofuro[3,2-e]isoquinolin-7-one) is a semi-synthetic morphinan opioid and full μ-opioid receptor (MOR) agonist with moderate receptor affinity (Ki = 19.8 nM)[4]model confidence 95%
Verified

Abstract directly confirms hydrocodone Ki = 19.8 nM at mu receptor using rat brain homogenates with 3H-DAMGO. The 'moderate affinity' characterization is consistent with this value.

Hydrocodone Ki = 19.8 nM at mu receptor (rat brain homogenates with 3H-DAMGO).

checked by claude-sonnet-4-6 · May 9, 2026

verifiedFDA in 1943, hydrocodone became the most-prescribed drug in the United States by 2011, with 136.7 million annual prescriptions[1]model confidence 92%
Verified

Abstract directly confirms 136.7 million prescriptions in 2011 and that hydrocodone topped all prescriptions. The FDA approval date claim is not addressed but not contradicted.

Hydrocodone topped all prescriptions with 136.7 million prescriptions in 2011.

checked by claude-sonnet-4-6 · May 9, 2026

partialHydrocodone activates MOR with a Ki of 19.8 nM in rat brain homogenates, placing it in the moderate-affinity range alongside oxycodone and methadone[5]model confidence 85%
Partial

Abstract confirms hydrocodone is in the Ki=1-100 nM moderate range, but this paper (Volpe et al.) uses recombinant human MOR — not rat brain homogenates. The 19.8 nM value and rat brain homogenate method belong to Chen et al. (citation [7]). The comparative placement alongside oxycodone and methadone is not confirmed in the abstract snippet.

Experiments were conducted to obtain Ki values for 19 approved opioid drugs using a single binding assay in a cell membrane preparation expressing recombinant human MOR. Hydrocodone falls in the Ki=1-100 nM range.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedClinical pharmacogenomics data confirm that plasma hydromorphone — not plasma hydrocodone — predicts analgesic efficacy, establishing the metabolite as a principal mediator of therapeutic effect.[3]model confidence 97%
Verified

Abstract directly states plasma hydromorphone, not hydrocodone, was predictive of pain relief.

plasma hydromorphone, not hydrocodone, was predictive of pain relief.

checked by claude-sonnet-4-6 · May 9, 2026

history8 claims7verified1partial
verifiedPhase 3 trials of suzetrigine (VX-548), a novel NaV1.8 inhibitor, used hydrocodone bitartrate 5 mg/acetaminophen 300 mg as the reference arm in bunionectomy and abdominoplasty pain, with VX-548 demonstrating non-inferior efficacy[14]model confidence 88%
Verified

Abstract confirms Phase 3 trials compared VX-548 vs. hydrocodone bitartrate/acetaminophen in bunionectomy and abdominoplasty pain, and VX-548 was non-inferior. The specific dose (5 mg/300 mg) is not in the abstract but the core claim is confirmed.

Phase 3 trials comparing VX-548 (suzetrigine) vs. hydrocodone bitartrate/acetaminophen and placebo in bunionectomy and abdominoplasty pain. VX-548 significantly reduced pain vs. placebo; non-inferior to hydrocodone/APAP.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedBy 2011, HCPs had become the most-prescribed drug class in the United States, with 136.7 million prescriptions dispensed annually[1]model confidence 99%
Verified

Abstract directly confirms hydrocodone topped all prescriptions with 136.7 million prescriptions in 2011.

Hydrocodone topped all prescriptions with 136.7 million prescriptions in 2011.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedThe United States accounted for approximately 99% of global hydrocodone consumption.[2]model confidence 99%
Verified

Abstract directly confirms US consumes ~99% of world's hydrocodone supply.

US consumes ~99% of world's hydrocodone supply.

checked by claude-sonnet-4-6 · May 9, 2026

partialPaulozzi et al. established in 2006 that opioid analgesic poisoning deaths had exceeded heroin and cocaine deaths combined by 2002[7]model confidence 78%
Partial

Abstract confirms opioid deaths in 2002 exceeded heroin or cocaine individually. The claim says 'heroin and cocaine deaths combined,' but the abstract's phrasing 'more than heroin or cocaine' indicates each separately — not necessarily both combined.

Opioid analgesic poisoning listed in 5528 deaths in 2002 - more than heroin or cocaine.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedOpioids subsequently became responsible for more deaths than suicide and motor vehicle crashes[1]model confidence 98%
Verified

Abstract directly confirms opioid analgesics are responsible for more deaths than both suicide/motor vehicle crashes.

Opioid analgesics now responsible for more deaths than both suicide/motor vehicle crashes or cocaine/heroin combined.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedShen et al. documented HCP use declining from 55% to 40% among older breast cancer patients, with compensatory prescribing shifts to other opioids[10]model confidence 99%
Verified

Abstract directly confirms hydrocodone use declined from 55% to 40% after rescheduling and non-hydrocodone opioid use increased from 43% to 50%.

Hydrocodone use declined from 55% to 40% after rescheduling; non-hydrocodone opioid use increased from 43% to 50%.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedYan et al. recorded significant reductions in dental hydrocodone prescribing[11]model confidence 85%
Verified

Abstract confirms the 2014 DEA rescheduling changed dental prescribing of opioids, consistent with reduced hydrocodone prescribing.

Dentists frequently prescribe hydrocodone. 2014 DEA rescheduling to Schedule II introduced restricted prescribing; changed dental prescribing of opioids.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCavallari et al. demonstrated in a randomized trial that CYP2D6-guided opioid management improves postoperative pain control, and Nahid et al. linked CYP2D6 phenotype to emergency department utilization among opioid-treated patients[12]model confidence 85%
Verified

Abstract and title confirm this is a randomized clinical trial of CYP2D6-guided opioid management. The claim's Cavallari portion is supported; Nahid et al. is a separate citation not assessed here.

Individuals with absent (poor metabolizers) or reduced (intermediate metabolizers) CYP2D6 enzyme activity have lower concentrations of highly potent active metabolites of tramadol, hydrocodone, and codeine.

checked by claude-sonnet-4-6 · May 9, 2026

chemistry1 claim1verified
verifiedThe methoxy group at C-3 is the defining structural distinction between hydrocodone and hydromorphone: O-demethylation by CYP2D6 removes this methyl ether, yielding the free phenol of hydromorphone and dramatically increasing MOR affinity from 19.8 nM to approximately 0.6 nM[4]model confidence 90%
Verified

Abstract confirms Ki values (19.8 nM → 0.6 nM) and the pharmacological importance of metabolites. The structural chemistry about C-3 methoxy is consistent with the affinity data and the metabolite hypothesis stated in the abstract.

Hydrocodone Ki = 19.8 nM at mu receptor... Hydromorphone Ki = 0.6 nM. Many opioids may exert their pharmacological actions predominantly through metabolites.

checked by claude-sonnet-4-6 · May 9, 2026

pharmacology13 claims10verified3inconclusive
verifiedA pharmacologically critical distinction defines hydrocodone's mechanism: the parent compound has moderate MOR affinity (Ki = 19.8 nM), but CYP2D6-mediated O-demethylation yields hydromorphone (Ki ≈ 0.6 nM), approximately 33-fold more potent at MOR[4]model confidence 98%
Verified

Abstract directly confirms hydrocodone Ki=19.8 nM, hydromorphone Ki=0.6 nM (33-fold ratio), and notes that many opioids exert actions predominantly through metabolites.

Hydrocodone Ki = 19.8 nM at mu receptor (rat brain homogenates with 3H-DAMGO). Hydromorphone Ki = 0.6 nM. Many opioids may exert their pharmacological actions predominantly through metabolites.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHosseinnejad et al. demonstrated in a postcesarean cohort that plasma hydromorphone concentration — not plasma hydrocodone — was predictive of pain relief, directly establishing the metabolite as a principal mediator of analgesic efficacy.[3]model confidence 98%
Verified

Abstract directly confirms plasma hydromorphone, not hydrocodone, was predictive of pain relief in this cohort.

plasma hydromorphone, not hydrocodone, was predictive of pain relief.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHydrocodone undergoes extensive hepatic first-pass metabolism via two primary CYP-mediated pathways:[16]model confidence 96%
Verified

Abstract explicitly states the study determines Michaelis-Menten kinetics of hydrocodone metabolism via O- and N-demethylation by CYP2D6 and CYP3A4, directly confirming two primary CYP-mediated pathways.

To determine the Michaelis-Menten kinetics of hydrocodone metabolism to its O- and N-demethylated products, hydromorphone and norhydrocodone, to determine the individual cytochrome p450 enzymes involved.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHydrocodone undergoes extensive hepatic first-pass metabolism via two primary CYP-mediated pathways:[17]model confidence 97%
Verified

Abstract explicitly states hydrocodone undergoes CYP-mediated metabolism via CYP3A4 and CYP2D6 isozymes, confirming two primary pathways.

Hydrocodone undergoes cytochrome P-450 (CYP)-mediated metabolism involving the CYP3A4 and CYP2D6 isozymes.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHydrocodone undergoes extensive hepatic first-pass metabolism via two primary CYP-mediated pathways:[18]model confidence 97%
Verified

Abstract explicitly states hydrocodone is metabolized by CYP2D6 into hydromorphone and by CYP3A4 into norhydrocodone, confirming two CYP-mediated pathways.

Hydrocodone is metabolized by cytochrome P450 (CYP) 2D6 into hydromorphone and by CYP3A4 into norhydrocodone.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP3A4 (N-demethylation) → norhydrocodone — the major metabolic pathway by mass. Norhydrocodone is considered pharmacologically inactive or weakly active. Mean urinary norhydrocodone mole fraction: approximately 49% of total metabolite output[18]model confidence 98%
Verified

Abstract directly confirms norhydrocodone mole fraction of 0.49 (49%) and that CYP3A4 produces norhydrocodone.

Mean hydrocodone, hydromorphone and norhydrocodone mole fractions were 0.39, 0.12 and 0.49, respectively.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP2D6 (O-demethylation) → hydromorphone — a minor pathway by mass (approximately 12% of urinary drug and metabolites) but pharmacologically significant due to hydromorphone's 33-fold greater MOR affinity[18]model confidence 96%
Verified

Abstract confirms hydromorphone mole fraction of 0.12 (12%). The 33-fold MOR affinity is established by another study but is consistent context here.

Mean hydrocodone, hydromorphone and norhydrocodone mole fractions were 0.39, 0.12 and 0.49, respectively.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveSecondary metabolites include dihydrocodeine and dihydromorphine in minor quantities.[20]model confidence 50%
Inconclusive

Abstract not available; cannot verify this specific claim about secondary metabolites.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPoor metabolizers exhibit substantially reduced hydromorphone formation and correspondingly reduced analgesia[12]model confidence 92%
Verified

Abstract confirms individuals with absent (poor metabolizers) CYP2D6 activity have lower concentrations of active metabolites of hydrocodone, supporting reduced hydromorphone formation and reduced analgesia.

Individuals with absent (poor metabolizers) or reduced (intermediate metabolizers) CYP2D6 enzyme activity have lower concentrations of highly potent active metabolites of tramadol, hydrocodone, and codeine.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPoor metabolizers exhibit substantially reduced hydromorphone formation and correspondingly reduced analgesia[13]model confidence 90%
Verified

Abstract states CYP2D6 bioactivates hydrocodone to active metabolites and reduced CYP2D6 activity may be associated with poor pain control, directly supporting the claim.

CYP2D6 bioactivates hydrocodone, tramadol, codeine, and oxycodone to active metabolites providing analgesic activity. Reduced CYP2D6 activity may be associated with poor pain control.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveKapil et al. confirmed this mechanism through paroxetine co-administration: CYP2D6 inhibition reduced hydromorphone AUC from 3.8 to 0.64 ng·h/mL (83% reduction) while leaving hydrocodone systemic exposure unchanged[17]model confidence 70%
Inconclusive

Abstract confirms this is a paroxetine + ER hydrocodone PK study, but the specific AUC values (3.8, 0.64 ng·h/mL, 83% reduction) are not present in the abstract. These numbers would be in study tables.

Hydrocodone undergoes cytochrome P-450 (CYP)-mediated metabolism involving the CYP3A4 and CYP2D6 isozymes. CYP3A4 yields norhydrocodone, a major inactive metabolite, whereas CYP2D6 yields hydromorphone, a minor active metabolite.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP3A4 and CYP3A5 genotype does not significantly predict pain relief from hydrocodone.[3]model confidence 99%
Verified

The paper title explicitly states 'Lack of Influence by CYP3A4 and CYP3A5 Genotypes on Pain Relief by Hydrocodone,' directly confirming this claim.

CYP2D6 is responsible for metabolizing hydrocodone; rate of hydromorphone formation was dependent on the genotype of CYP2D6 and plasma hydromorphone, not hydrocodone, was predictive of pain relief.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveFor extended-release formulations (20 mg ER), Kapil et al. reported: Tmax median 18 hours, elimination half-life (t½) 8.4–8.5 hours, Cmax 15.9–16.8 ng/mL, and AUC₀₋ₜ 325–343 ng·h/mL[17]model confidence 70%
Inconclusive

Abstract confirms this is an ER hydrocodone PK study but does not provide any of these specific PK parameter values (Tmax 18h, t½ 8.4–8.5h, Cmax 15.9–16.8 ng/mL, AUC 325–343 ng·h/mL). These values would be in tables.

A single-entity, once-daily, extended-release formulation of hydrocodone bitartrate (HYD) has been developed for the management of moderate to severe chronic pain.

checked by claude-sonnet-4-6 · May 9, 2026

receptor pharmacology3 claims3verified
verifiedChen et al. established a Ki of 19.8 nM using rat brain homogenates with ³H-DAMGO as the radioligand[4]model confidence 99%
Verified

Abstract directly confirms hydrocodone Ki = 19.8 nM measured at mu receptor using rat brain homogenates with 3H-DAMGO.

Hydrocodone Ki = 19.8 nM at mu receptor (rat brain homogenates with 3H-DAMGO).

checked by claude-sonnet-4-6 · May 9, 2026

verifiedVolpe et al. confirmed this positioning using recombinant human MOR, placing hydrocodone in the Ki = 1–100 nM range — alongside oxycodone, methadone, and fentanyl — rather than among the high-affinity opioids (hydromorphone, buprenorphine, sufentanil; Ki < 1 nM) or the low-affinity agents (codeine, tramadol; Ki > 100 nM).[5]model confidence 85%
Verified

Abstract confirms use of recombinant human MOR and hydrocodone placement in the Ki=1-100 nM range. Comparative rankings of other opioids are not in the abstract but are the subject of the paper.

Experiments were conducted to obtain Ki values for 19 approved opioid drugs using a single binding assay in a cell membrane preparation expressing recombinant human MOR. Hydrocodone falls in the Ki=1-100 nM range.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedHydromorphone, produced via CYP2D6-mediated O-demethylation, has a MOR Ki of approximately 0.6 nM — 33-fold greater affinity than the parent compound[4]model confidence 98%
Verified

Abstract directly confirms hydromorphone Ki = 0.6 nM vs hydrocodone Ki = 19.8 nM (33-fold ratio = 19.8/0.6) and notes opioids may act predominantly through metabolites.

Hydrocodone Ki = 19.8 nM at mu receptor (rat brain homogenates with 3H-DAMGO). Hydromorphone Ki = 0.6 nM.

checked by claude-sonnet-4-6 · May 9, 2026

pharmacokinetic detail9 claims7verified2inconclusive
verifiedHydrocodone metabolism is dominated by two CYP-mediated oxidative pathways characterized in human liver microsomes:[16]model confidence 99%
Verified

Abstract directly states the study characterizes hydrocodone metabolism via CYP2D6 and CYP3A4 in human liver microsomes.

To determine the Michaelis-Menten kinetics of hydrocodone metabolism to its O- and N-demethylated products, hydromorphone and norhydrocodone, to determine the individual cytochrome p450 enzymes involved.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP3A4: N-demethylation → norhydrocodone — the quantitatively major pathway. Norhydrocodone accounts for approximately 49% of total urinary drug and metabolites in a large-scale clinical sample (n = 76,924 specimens). Norhydrocodone is considered pharmacologically inactive or weakly active at MOR.[18]model confidence 98%
Verified

Abstract directly confirms norhydrocodone mole fraction of 0.49 and the CYP3A4 pathway. The large sample size (n=76,924) is confirmed in the scope.

Mean hydrocodone, hydromorphone and norhydrocodone mole fractions were 0.39, 0.12 and 0.49, respectively.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP2D6: O-demethylation → hydromorphone — the quantitatively minor but pharmacologically dominant pathway. Hydromorphone accounts for approximately 12% of urinary drug and metabolites but possesses 33-fold greater MOR affinity than the parent compound.[18]model confidence 96%
Verified

Abstract directly confirms hydromorphone mole fraction of 0.12 (12%) via CYP2D6. The 33-fold MOR affinity data comes from another study but is consistent context.

Mean hydrocodone, hydromorphone and norhydrocodone mole fractions were 0.39, 0.12 and 0.49, respectively.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedParent hydrocodone accounts for approximately 39% of total urinary output.[18]model confidence 99%
Verified

Abstract directly confirms mean hydrocodone mole fraction of 0.39 (39%).

Mean hydrocodone, hydromorphone and norhydrocodone mole fractions were 0.39, 0.12 and 0.49, respectively.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveSecondary metabolites include dihydrocodeine and dihydromorphine in trace amounts.[20]model confidence 50%
Inconclusive

Abstract not available; cannot verify this specific claim.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPoor metabolizers exhibit substantially reduced hydromorphone formation, resulting in diminished analgesia and increased risk of inadequate pain control.[12]model confidence 92%
Verified

Abstract confirms poor metabolizers have lower concentrations of active metabolites of hydrocodone, directly supporting reduced hydromorphone formation and diminished analgesia.

Individuals with absent (poor metabolizers) or reduced (intermediate metabolizers) CYP2D6 enzyme activity have lower concentrations of highly potent active metabolites of tramadol, hydrocodone, and codeine.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPoor metabolizers exhibit substantially reduced hydromorphone formation, resulting in diminished analgesia and increased risk of inadequate pain control.[13]model confidence 90%
Verified

Abstract confirms reduced CYP2D6 activity may be associated with poor pain control, directly supporting the claim.

CYP2D6 bioactivates hydrocodone, tramadol, codeine, and oxycodone to active metabolites providing analgesic activity. Reduced CYP2D6 activity may be associated with poor pain control.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveCYP2D6 inhibitor co-administration (paroxetine, fluoxetine, bupropion) recapitulates the poor-metabolizer phenotype pharmacokinetically: Kapil et al. demonstrated that paroxetine co-administration reduced hydromorphone AUC from 3.8 to 0.64 ng·h/mL (83% reduction) while leaving hydrocodone systemic exposure unchanged.[17]model confidence 70%
Inconclusive

Abstract confirms this is a paroxetine CYP2D6 inhibitor study with ER hydrocodone, but the specific AUC values (3.8, 0.64 ng·h/mL, 83% reduction) are not in the abstract. These would be in tables.

Hydrocodone undergoes cytochrome P-450 (CYP)-mediated metabolism involving the CYP3A4 and CYP2D6 isozymes. CYP3A4 yields norhydrocodone, a major inactive metabolite, whereas CYP2D6 yields hydromorphone, a minor active metabolite.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP3A4 and CYP3A5 genotype does not significantly predict pain relief from hydrocodone.[3]model confidence 99%
Verified

Paper title explicitly states 'Lack of Influence by CYP3A4 and CYP3A5 Genotypes on Pain Relief by Hydrocodone,' directly confirming the claim.

CYP2D6 is responsible for metabolizing hydrocodone; rate of hydromorphone formation was dependent on the genotype of CYP2D6 and plasma hydromorphone, not hydrocodone, was predictive of pain relief.

checked by claude-sonnet-4-6 · May 9, 2026

clinical evidence6 claims6verified
verifiedBertoch et al. conducted two Phase 3 randomized clinical trials comparing suzetrigine, a novel NaV1.8 inhibitor, against hydrocodone bitartrate 5 mg/acetaminophen 300 mg as the active comparator in bunionectomy and abdominoplasty pain[14]model confidence 90%
Verified

Abstract confirms two Phase 3 trials of VX-548 (suzetrigine) vs. hydrocodone bitartrate/acetaminophen in bunionectomy and abdominoplasty. Specific dose (5 mg/300 mg) not in abstract but study design is confirmed.

Phase 3 trials comparing VX-548 (suzetrigine) vs. hydrocodone bitartrate/acetaminophen and placebo in bunionectomy and abdominoplasty pain.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCooper et al. conducted a randomized, double-blind, placebo-controlled trial comparing analgesic efficacy of naproxen sodium versus hydrocodone/acetaminophen in acute postsurgical dental pain[25]model confidence 99%
Verified

Abstract directly confirms comparison of naproxen sodium vs hydrocodone plus acetaminophen in post-impaction surgery pain in a randomized design.

Compared single dose naproxen sodium 440 mg against hydrocodone plus acetaminophen 10/650 mg in post-impaction surgery pain.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedChumpitazi et al. evaluated hydrocodone/acetaminophen for pediatric laceration repair in a randomized trial, extending the evidence base for hydrocodone use in pediatric populations.[26]model confidence 99%
Verified

Abstract directly confirms evaluation of hydrocodone/acetaminophen elixir in children undergoing laceration repair in the emergency department.

Measured effect of hydrocodone/acetaminophen elixir in reducing pain and anxiety in children undergoing sutured laceration repair in the emergency department.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedFarrar et al. conducted a harmonization analysis of FDA patient-level data from abuse-deterrent oxycodone and hydrocodone studies, finding that only approximately 44.5% of 3,192 chronic non-cancer pain patients maintained pain level and opioid dose stability over 12 months[27]model confidence 99%
Verified

Abstract directly confirms patient-level analysis of FDA data from 3,192 patients and ~44.5% maintained pain and opioid dose stability at 12 months.

Patient-level analysis of FDA data from 3,192 patients on ER oxycodone/hydrocodone: ~44.5% maintained pain and opioid dose stability at 12 months.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedThis finding challenges the premise of long-term opioid efficacy maintenance and is consistent with the broader Cochrane assessment by Noble et al. that long-term opioid therapy for chronic non-cancer pain produces sustained benefit in only a minority of patients.[28]model confidence 85%
Verified

Abstract describes a Cochrane review with high discontinuation rates (22.9% adverse events, 10.3% insufficient pain relief), which supports the claim that only a minority maintain sustained benefit.

Cochrane review (26 studies, 4,893 participants). Many patients discontinue long-term opioids due to adverse events (22.9% oral) or insufficient pain relief (10.3%).

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCavallari et al. conducted a randomized clinical trial of CYP2D6-guided opioid management in postoperative pain control[12]model confidence 99%
Verified

Paper title explicitly states 'CYP2D6-Guided Opioid Management and Postoperative Pain Control: A Randomized Clinical Trial,' directly confirming the claim.

Individuals with absent (poor metabolizers) or reduced (intermediate metabolizers) CYP2D6 enzyme activity have lower concentrations of highly potent active metabolites of tramadol, hydrocodone, and codeine.

checked by claude-sonnet-4-6 · May 9, 2026

safety17 claims11verified1partial4inconclusive1not supported
inconclusiveThe primary mechanism of acute hydrocodone toxicity is progressive respiratory depression — dose-dependent suppression of respiratory drive at the pre-Bötzinger complex in the ventral medulla, progressing to apnea and hypoxic death[33]model confidence 70%
Inconclusive

Abstract confirms respiratory depression progressing to apnea and death, but the specific anatomical claim about the pre-Bötzinger complex in the ventral medulla is not mentioned in the abstract. This detail would be in the full text.

Opioids cause respiratory depression progressing to apnea and death.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedAutopsy findings in opioid-related deaths characteristically include pulmonary edema and congestion with frothy watery fluid in the airways[33]model confidence 88%
Verified

Abstract directly confirms pulmonary edema/congestion as key autopsy findings. 'Frothy watery fluid' is a standard clinical description of pulmonary edema not contradicted by the abstract.

Pulmonary edema/congestion are key autopsy findings.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedOpioid use disorder caused 53,774 U.S. deaths in 2024 and affected 3.7% of adults[34]model confidence 99%
Verified

Abstract directly confirms both figures: 3.7% of US adults affected and 53,774 deaths in 2024.

Opioid use disorder affected ~3.7% of US adults (9.4M) in 2022 and caused 53,774 deaths in 2024.

checked by claude-sonnet-4-6 · May 9, 2026

partialPaulozzi et al. established that opioid analgesic poisoning deaths — driven substantially by hydrocodone prescribing — exceeded heroin and cocaine deaths combined by 2002[7]model confidence 80%
Partial

Abstract confirms opioid analgesic deaths in 2002 exceeded heroin or cocaine deaths individually (5528 deaths). However, the claim says 'combined,' which is a stronger assertion the abstract does not confirm — 'more than heroin or cocaine' means each separately, not necessarily both combined.

Opioid analgesic poisoning listed in 5528 deaths in 2002 - more than heroin or cocaine.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedOpioids subsequently became responsible for more deaths than suicide and motor vehicle crashes.[1]model confidence 98%
Verified

Abstract directly states opioid analgesics are now responsible for more deaths than both suicide/motor vehicle crashes combined.

Opioid analgesics now responsible for more deaths than both suicide/motor vehicle crashes or cocaine/heroin combined.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedEvidence-based treatment for opioid use disorder includes buprenorphine-naloxone (partial agonist substitution therapy), methadone (full agonist substitution), and naltrexone (antagonist-based relapse prevention).[34]model confidence 85%
Verified

Abstract describes a review of medications for OUD, and the SCOPE confirms coverage of buprenorphine, methadone, and naltrexone. The abstract is clearly about the right topic.

Reviews medications for OUD, withdrawal, and overdose reversal.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedFarrar et al. found that only approximately 44.5% of chronic non-cancer pain patients maintained pain level and opioid dose stability over 12 months on extended-release opioids, reflecting the clinical reality of tolerance development.[27]model confidence 98%
Verified

Abstract directly confirms ~44.5% maintained pain and opioid dose stability at 12 months in a patient-level FDA analysis.

Patient-level analysis of FDA data from 3,192 patients on ER oxycodone/hydrocodone: ~44.5% maintained pain and opioid dose stability at 12 months.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedThe hydrocodone-alcohol interaction operates through dual mechanisms: pharmacodynamic (additive CNS and respiratory depression) and pharmacokinetic (40% ethanol increases hydrocodone ER Cmax by approximately 135% and shortens Tmax from 6.16 to 2.43 hours)[22]model confidence 92%
Verified

Abstract confirms 40% alcohol increased Cmax from 46.3 to 109 ng/mL (~135% increase) and shortened Tmax to 2.43h. Baseline Tmax of 6-8h contains the claimed 6.16h baseline.

40% alcohol increased AUC by 20% and Cmax from 46.3 to 109 ng/mL, shortened tmax to 2.43 h.

checked by claude-sonnet-4-6 · May 9, 2026

not supportedAlcohol-opioid combinations are a leading contributor to fatal overdose.[35]model confidence 82%
Not supported

cited source's abstract does not support this claim — flagged for editorial review

This citation is entirely about benzodiazepine-opioid interactions and their role in fatal overdose. The abstract does not mention alcohol at all. The claim about alcohol-opioid combinations is not supported by this citation.

Opioid analgesics are the leading class causing unintentional overdose deaths. Benzodiazepines when combined with opioids produce significant respiratory depression.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedFields et al. found that alprazolam and diazepam co-ingestion significantly decreased hydrocodone blood concentrations in postmortem cases — likely through CYP3A4 competition — while deaths still occurred, indicating synergistic CNS toxicity at lower drug concentrations than would be expected for either drug alone[36]model confidence 97%
Verified

Abstract directly confirms alprazolam + diazepam decreased median hydrocodone concentrations by 48% but deaths still occurred at lower concentrations, suggesting synergistic toxicity.

Alprazolam + diazepam significantly decreased median hydrocodone concentrations by 48% but deaths still occurred at lower concentrations, suggesting synergistic toxicity.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveBenzodiazepine-related deaths increased 5-fold from 1999–2009, largely driven by opioid co-ingestion.[35]model confidence 65%
Inconclusive

Abstract confirms benzodiazepines combined with opioids cause significant respiratory depression and deaths, but the specific '5-fold increase from 1999–2009' statistic is not present in the abstract. It may be in the full text.

Benzodiazepines when combined with opioids produce significant respiratory depression. Emergency department visits related to opioid analgesics increased by 111%.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveTramadol also lowers seizure threshold, and the combination increases seizure risk[38]model confidence 65%
Inconclusive

Abstract confirms tramadol induces seizures (supporting seizure threshold claim), but the abstract shows that diazepam+tramadol combination abolishes seizures — potentially contrary to 'combination increases seizure risk.' The specific combination of interest (tramadol+hydrocodone) is not addressed.

Tramadol induces dose-dependent sedation, seizures, and respiratory depression. Diazepam/tramadol combination enhances sedation and respiratory depression while abolishing seizures.

checked by claude-sonnet-4-6 · May 9, 2026

inconclusiveParoxetine, fluoxetine, bupropion, and other strong CYP2D6 inhibitors substantially reduce hydromorphone formation (83% AUC reduction with paroxetine)[17]model confidence 70%
Inconclusive

Abstract confirms paroxetine inhibits CYP2D6 and affects hydromorphone formation, but the specific 83% AUC reduction figure is not present in the abstract and would be in study tables.

Hydrocodone undergoes cytochrome P-450 (CYP)-mediated metabolism involving the CYP3A4 and CYP2D6 isozymes. CYP3A4 yields norhydrocodone, a major inactive metabolite, whereas CYP2D6 yields hydromorphone, a minor active metabolite.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedCYP2D6 ultra-rapid metabolizer status — excessive hydromorphone formation may produce disproportionate opioid effects at standard doses[15]model confidence 82%
Verified

Abstract confirms CYP2D6 variability is a major cause of opioid efficacy and safety differences, applicable to hydrocodone. This framework supports the claim about ultra-rapid metabolizers producing excessive active metabolites.

CYP2D6 variability is a major cause of opioid efficacy and safety differences. Applicable to other CYP2D6-metabolized opioids including hydrocodone.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPregnancy — neonatal opioid withdrawal syndrome (NOWS) is documented with in-utero opioid exposure; maternal pharmacokinetic data during pregnancy are limited[29]model confidence 80%
Verified

Abstract confirms major pharmacology knowledge gaps exist for hydrocodone in maternal and pediatric populations, directly supporting the claim about limited maternal PK data.

Hydrocodone, oxycodone, and codeine are the most prescribed opioids but have major pharmacology knowledge gaps in maternal and pediatric populations.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedConcurrent benzodiazepine or CNS depressant use — synergistic respiratory depression; substantially elevated overdose mortality risk[36]model confidence 95%
Verified

Abstract directly shows that benzodiazepine+hydrocodone combinations caused deaths at lower drug concentrations than expected, demonstrating synergistic toxicity and elevated mortality risk.

Alprazolam + diazepam significantly decreased median hydrocodone concentrations by 48% but deaths still occurred at lower concentrations, suggesting synergistic toxicity.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedConcurrent benzodiazepine or CNS depressant use — synergistic respiratory depression; substantially elevated overdose mortality risk[35]model confidence 95%
Verified

Abstract directly states benzodiazepines combined with opioids produce significant respiratory depression, and opioid analgesics are the leading class in unintentional overdose deaths.

Benzodiazepines when combined with opioids produce significant respiratory depression.

checked by claude-sonnet-4-6 · May 9, 2026

comparative pharmacology5 claims5verified
verifiedAt the receptor level, hydrocodone's MOR Ki of 19.8 nM ranks it below hydromorphone (0.6 nM), fentanyl, and buprenorphine, but above codeine and tramadol (both > 100 nM).[5]model confidence 82%
Verified

Abstract confirms hydrocodone is in the moderate Ki=1-100 nM range using recombinant human MOR, which is consistent with the comparative ranking claim. Specific values for other opioids would be in the paper's tables.

Experiments were conducted to obtain Ki values for 19 approved opioid drugs using a single binding assay in a cell membrane preparation expressing recombinant human MOR. Hydrocodone falls in the Ki=1-100 nM range.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedAt the receptor level, hydrocodone's MOR Ki of 19.8 nM ranks it below hydromorphone (0.6 nM), fentanyl, and buprenorphine, but above codeine and tramadol (both > 100 nM).[4]model confidence 88%
Verified

Abstract confirms hydrocodone Ki=19.8 nM and hydromorphone Ki=0.6 nM, directly supporting the relative ranking between these two. Rankings vs fentanyl, buprenorphine, codeine, tramadol are not in the abstract but consistent with the study's scope.

Hydrocodone Ki = 19.8 nM at mu receptor (rat brain homogenates with 3H-DAMGO). Hydromorphone Ki = 0.6 nM.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedThe critical difference is magnitude: codeine has negligible intrinsic MOR activity (Ki > 100 nM) and functions almost entirely as a prodrug for morphine, whereas hydrocodone retains moderate MOR affinity (Ki = 19.8 nM) and produces pharmacological effects even in CYP2D6 poor metabolizers — though with reduced analgesic efficacy.[12]model confidence 82%
Verified

Abstract confirms poor metabolizers have lower (not absent) active metabolite concentrations for hydrocodone, implying some residual activity. This supports the claim that hydrocodone retains moderate intrinsic MOR activity unlike codeine.

Individuals with absent (poor metabolizers) or reduced (intermediate metabolizers) CYP2D6 enzyme activity have lower concentrations of highly potent active metabolites of tramadol, hydrocodone, and codeine.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedMurphy et al. compared rates of mortality and serious adverse effects among commonly prescribed opioid analgesics[30]model confidence 92%
Verified

Abstract confirms this is an evaluation of comparative mortality rates among commonly prescribed opioids including hydrocodone.

Epidemic of prescription opioid overdose and mortality parallels dispensing rates; evaluation of comparative mortality rates among commonly prescribed opioids including hydrocodone.

checked by claude-sonnet-4-6 · May 9, 2026

verifiedPiper et al. documented trends in medical opioid use from 2006–2016, capturing the peak and decline of hydrocodone prescribing.[31]model confidence 95%
Verified

Abstract confirms a nationwide examination of opioid distribution patterns from 2006–2016, directly confirming the study scope and timeframe.

Nationwide examination of opioid distribution patterns 2006-2016.

checked by claude-sonnet-4-6 · May 9, 2026

05

Coverage & Gaps

effect links
76 links · 76 approved · 0 audited0/76 with evidence basis
interactions
7 approved pairs0/7 graded
06

Research Trail

substance-article pipeline-v5 May 9, 2026

StepSourceQueryResults
1database lookupPubChemhydrocodone1 result, 1 selected
selection rationale

Primary chemical identity verification

2literature searchPubMedhydrocodone opioid receptor binding affinity Ki mu kappa0 results
selection rationale

discarded 0: Query returned empty

3literature searchPubMedhydrocodone pharmacokinetics bioavailability half-life metabolism CYP0 results
selection rationale

discarded 0: Query returned empty

4literature searchOpenAlexhydrocodone pharmacology opioid (sort: citations)10 results, 5 selected
selection rationale

Highly cited papers directly relevant to hydrocodone prescribing, metabolism, and epidemiology

5literature searchPubMedhydrocodone clinical pharmacology analgesic10 results, 3 selected
selection rationale

Directly relevant to hydrocodone CYP2D6 metabolism and clinical outcomes

6literature searchPubMedhydrocodone metabolism CYP2D6 norhydrocodone hydromorphone5 results, 5 selected
selection rationale

Core pharmacokinetic and metabolic pathway data for hydrocodone

7literature searchPubMedhydrocodone opioid receptor binding Ki affinity mu receptor2 results, 2 selected
selection rationale

Primary receptor binding affinity data for hydrocodone

8document retrievalPubMedPMID 149984251 result, 1 selected
selection rationale

Core metabolism study

9document retrievalPubMedPMID 263502731 result, 1 selected
selection rationale

Key CYP pathway characterization

10literature searchPubMedhydrocodone oral bioavailability pharmacokinetics Tmax plasma concentration1 result, 1 selected
selection rationale

Key PK paper for ER hydrocodone with food and alcohol interactions

11web searchWebSearchhydrocodone history synthesis 1920 Carl Mannich Germany first synthesis10 results, 2 selected
selection rationale

Historical synthesis data not available in PubMed

12legal status searchWebSearchhydrocodone rescheduled Schedule II DEA 2014 Hydrocodone Combination Products10 results, 3 selected
selection rationale

Legal scheduling history

13web searchWebSearchhydrocodone SMILES InChI CAS number 125-29-1 molecular properties PubChem10 results, 2 selected
selection rationale

Chemical identity data including SMILES

14literature searchOpenAlexhydrocodone single entity extended release Zohydro pharmacokinetics (citations sort)8 results, 3 selected
selection rationale

Key ER hydrocodone PK and policy impact data

15literature searchPubMedhydrocodone rescheduling impact prescribing patterns outcomes 20142 results, 2 selected
selection rationale

Real-world impact of rescheduling on prescribing patterns

16web searchWebSearchhydrocodone legal status UK controlled drug schedule Canada Australia international10 results, 1 selected
selection rationale

Legal status research for jurisdictions outside US

17web searchWebSearchhydrocodone equianalgesic morphine milligram equivalent 1:1 ratio CDC conversion10 results, 2 selected
selection rationale

Equianalgesic dosing data

18web searchWebSearchGHB GBL opioid combination fatal respiratory depression pharmacodynamic interaction10 results, 2 selected
selection rationale

Mechanism of lethal GHB/opioid interaction

19literature searchPubMedhydrocodone acetaminophen combination side effects clinical trial pain6 results, 3 selected
selection rationale

Clinical trial data on hydrocodone/acetaminophen combination efficacy and safety

20document retrievalPubMedPMID 314542791 result, 1 selected
selection rationale

Key rescheduling impact study

21clinical trial searchClinicalTrials.govhydrocodone pain analgesia10 results, 2 selected
selection rationale

Clinical trials directly evaluating hydrocodone for pain

Research document (raw, unedited pipeline output)
# Research Output: Hydrocodone

---

## Chemical Identity

### Verified Data (PubChem CID 5284569)

| Property | Value | Source |
|---|---|---|
| PubChem CID | 5284569 | PubChem API [database lookup] |
| CAS Number | 125-29-1 | Web-retrieved [Ref 18] |
| Molecular Formula | C18H21NO3 | PubChem API [Ref — database lookup] |
| Molecular Weight | 299.4 g/mol | PubChem API |
| IUPAC Name | (4R,4aR,7aR,12bS)-9-methoxy-3-methyl-1,2,4,4a,5,6,7a,13-octahydro-4,12-methanobenzofuro[3,2-e]isoquinolin-7-one | PubChem API |
| InChIKey (stereospecific) | LLPOLZWFYMWNKH-CMKMFDCUSA-N | PubChem API |
| InChIKey (flat) | LLPOLZWFYMWNKH-UHFFFAOYSA-N | ChemIDplus [web-retrieved] |
| SMILES | COc1ccc2c3c1OC1C(=O)CCC4C(C2)N(C)CCC314 | ChemIDplus/PubChem [web-retrieved] |

### Discrepancies with Seed Data
The brief listed empty fields for SMILES, molecular formula, molecular weight, and InChIKey. All four have now been verified via PubChem CID 5284569. The IUPAC name in the seed data matches the PubChem entry exactly. The InChIKey suffix in PubChem (CMKMFDCUSA-N) reflects the defined stereochemistry of the (4R,4aR,7aR,12bS) configuration, consistent with the naturally occurring enantiomer.

### Stereochemistry
Hydrocodone is a semi-synthetic opioid derived from codeine or thebaine. The active form is the (4R,4aR,7aR,12bS) enantiomer, which is the only commercially used configuration. The compound belongs to the morphinan chemical class and shares the characteristic five-ring structure of the morphine alkaloids. The methoxy group at C-3 (position 9 in the IUPAC numbering) distinguishes it from hydromorphone; O-demethylation by CYP2D6 yields the considerably more potent hydromorphone metabolite [Ref 7].

---

## Pharmacology

### Receptor Binding

Hydrocodone is a μ-opioid receptor (MOR) agonist with moderate receptor affinity. Chen et al. (1991 [Ref 7]) established a MOR Ki of **19.8 nM** using rat brain homogenates with ³H-DAMGO as radioligand. In a more recent systematic assessment using recombinant human MOR, Volpe et al. (2011 [Ref 6]) placed hydrocodone in the **Ki = 1–100 nM range**, confirming moderate affinity, ranking it alongside oxycodone, methadone, and fentanyl rather than the higher-affinity opioids (hydromorphone, buprenorphine, sufentanil; Ki < 1 nM) or the lower-affinity drugs (codeine, tramadol; Ki > 100 nM).

A critical pharmacological distinction: hydrocodone's primary active metabolite, hydromorphone, has a MOR Ki of approximately **0.6 nM** — approximately 33-fold greater affinity than hydrocodone itself (Chen et al. 1991 [Ref 7]). Evidence from CYP2D6 pharmacogenomics studies strongly suggests that a meaningful portion of hydrocodone's in vivo analgesic effect is mediated via hydromorphone. Hosseinnejad et al. (2019 [Ref 5]) found in a postcesarean cohort that **plasma hydromorphone, not plasma hydrocodone, was predictive of pain relief**, directly supporting this hypothesis.

**FLAG for generation agent:** Published Ki data at κ-opioid receptor (KOR) and δ-opioid receptor (DOR) for hydrocodone specifically could not be confirmed from literature searches. The brief classifies hydrocodone as both a MOR and KOR agonist; the KOR activity at clinically relevant concentrations is not supported by the primary binding literature reviewed. MOR agonism is established; KOR involvement requires caution or removal from the pharmacological class description pending additional evidence.

### Mechanism of Action
Hydrocodone acts as a full MOR agonist in the central and peripheral nervous system. Activation of MOR inhibits adenylyl cyclase via Gi/Go proteins, reducing cAMP, and modulates ion channels (increased K+ conductance, decreased Ca²+ conductance), ultimately reducing nociceptive signal transmission. Additional effects include suppression of the cough reflex via brainstem MOR activation, decreased gastrointestinal motility through peripheral MOR and enteric nervous system activation, and euphorigenic effects via mesolimbic dopamine pathway modulation.

### Pharmacokinetics

**Metabolic Pathway (well-characterized):**

Hydrocodone undergoes extensive hepatic first-pass metabolism via two primary CYP-mediated pathways (Hutchinson et al. 2004 [Ref 1]; Kapil et al. 2015 [Ref 2]; Barakat et al. 2014 [Ref 3]):

- **CYP3A4 (N-demethylation) → norhydrocodone**: Major pathway; norhydrocodone is considered pharmacologically inactive or weakly active. Mean urinary norhydrocodone mole fraction: approximately **49%** of total (Barakat et al. 2014 [Ref 3])
- **CYP2D6 (O-demethylation) → hydromorphone**: Minor pathway by mass, but pharmacologically significant due to hydromorphone's ~33x higher MOR affinity. Mean urinary hydromorphone mole fraction: approximately **12%** of total [Ref 3]
- Parent hydrocodone accounts for approximately **39%** of urinary drug+metabolites [Ref 3]

Secondary metabolites include dihydrocodeine and dihydromorphine in minor amounts.

**CYP2D6 Pharmacogenomics:**
- CYP2D6 poor metabolizers: substantially reduced hydromorphone formation → reduced analgesia; increased risk of inadequate pain control (Cavallari et al. 2026 [Ref 13]; Nahid et al. 2025 [Ref 14])
- Kapil et al. (2015 [Ref 2]) confirmed with paroxetine co-administration: CYP2D6 inhibition reduced hydromorphone AUC from 3.8 to 0.64 ng·h/mL (83% reduction) while leaving hydrocodone exposure unchanged — demonstrating that CYP2D6 inhibitors alter the hydromorphone:hydrocodone ratio without affecting hydrocodone systemic exposure
- CYP3A4 and CYP3A5 genotype does not significantly predict pain relief from hydrocodone (Hosseinnejad et al. 2019 [Ref 5])

**Extended-Release Pharmacokinetic Parameters** (from Kapil et al. 2015 [Ref 2]):
- **Tmax (ER)**: median 18 hours
- **t½**: 8.4–8.5 hours
- **Cmax** (20 mg ER): 15.9–16.8 ng/mL
- **AUC0-t** (20 mg ER): 325–343 ng·h/mL

**Immediate-Release Pharmacokinetic Parameters:**
Specific published IR single-dose PK studies were not identified through PubMed searches. Based on pharmacokinetic principles for IR oral opioids, Tmax is typically 1–2 hours, substantially shorter than the ER formulation. The biphasic IR/ER combination product (MNK-155) has been characterized (Devarakonda et al. 2015 [Ref 17]). FLAG: IR hydrocodone-specific Tmax, bioavailability, and Cmax data not confirmed from primary PK studies in this research run.

**Food Interaction (ER formulation):**
Farr et al. (2015 [Ref 16]) demonstrated HC-ER relative bioavailability was 101.74% in fed vs. fasted conditions — no clinically meaningful food effect. ER hydrocodone can be taken without regard to meals.

**Alcohol Interaction (ER formulation):**
Farr et al. (2015 [Ref 16]) specifically studied alcohol co-administration with naltrexone-blocked subjects:
- 20% alcohol: no clinically meaningful increase in AUC or Cmax
- 40% alcohol: AUC increased by 20% (832 → 1,008 ng·h/mL); **Cmax increased by ~135%** (46.3 → 109 ng/mL); Tmax shortened from 6.16 to 2.43 hours
- Adverse events occurred in 10% (0% alcohol), 24.1% (20% alcohol), and **66.7%** (40% alcohol) of subjects
- No classical "dose-dumping" (rapid complete drug release) was observed, but the Cmax increase is clinically significant

**Equianalgesic Dose:**
1 mg oral hydrocodone = 1 morphine milligram equivalent (MME), establishing a 1:1 equianalgesic ratio with oral morphine [Ref 31; CDC 2022 guideline Ref 9].

---

## History

### Synthesis and Early Development
Hydrocodone was first synthesized in **Germany in 1920** by **Carl Mannich and Helene Löwenheim**, while investigating reactions that would later be named the Mannich reaction [Ref 18]. It is a semi-synthetic opioid, produced by partial synthesis from codeine (via reduction of the 6-keto group and hydrogenation of the 7,8 double bond from codeine's 6-hydroxy precursor) or occasionally from thebaine. The compound was **patented in 1923** [Ref 18].

### Clinical Introduction (USA)
Hydrocodone received **FDA approval on March 23, 1943** [Ref 18], primarily for use as an antitussive (cough suppressant) and for pain management. For most of its US history it was marketed in combination with acetaminophen (Vicodin, Norco), ibuprofen, or other agents for moderate-to-severe pain. The FDA approved the first single-entity extended-release hydrocodone formulation, Zohydro ER (Zogenix), in October 2013; additional single-entity ER formulations followed (Hysingla ER, Purdue).

### Regulatory History
By 2011, hydrocodone combination products (HCPs) had become the **most prescribed drug class in the United States**, with 136.7 million prescriptions (Manchikanti 2012 [Ref 12]). Under the original Controlled Substances Act framework, hydrocodone itself was Schedule II, but HCPs were classified as **Schedule III** — a classification that created what critics termed the "Vicodin loophole," allowing less-restricted prescribing than single-entity Schedule II opioids.

In response to escalating misuse, overdose deaths, and regulatory pressure, the DEA published a Notice of Proposed Rulemaking in February 2014. The **final rule became effective October 6, 2014**, rescheduling all HCPs from Schedule III to Schedule II [Ref 19]. This imposed the strictest federal prescribing controls: no refills permitted, written or electronic prescriptions required, 30-day supply limits in most states.

Rescheduling consequences: Fleming et al. (2019 [Ref 27]) found 78.8% of surveyed physicians modified their prescribing after rescheduling; Shen et al. (2025 [Ref 20]) documented HCP use declining from 55% to 40% in older breast cancer patients, with compensatory shift to other opioids. Yan et al. (2023 [Ref 21]) documented significant reduction in dental hydrocodone prescribing. Pergolizzi et al. (2017 [Ref 22]) noted the US accounted for ~99% of global hydrocodone consumption.

---

## Subjective Effects

### Published Descriptions
Hydrocodone produces effects typical of full MOR agonists. Direct controlled studies of subjective effects in recreational or non-medical contexts are sparse given ethical constraints, but the clinical literature, forensic toxicology, and pharmacological class profile establish the following effect domains:

**Primary therapeutic/subjective effects (well-documented in clinical and pharmacological literature):**

1. **Pain suppression** — primary therapeutic indication; mediated by central and peripheral MOR activation, with evidence that hydromorphone metabolite contributes meaningfully to analgesic effect [Ref 5]
2. **Sedation** — dose-dependent CNS depression; impairs psychomotor function; standard clinical warning in all published prescribing guidelines [Refs 8, 9]
3. **Euphoria (cognitive and tactile)** — characteristic opioid "rush" or warm glow, particularly at supraanalgesic doses; drives recreational use and dependency liability [Ref 10, Ref 12]
4. **Anxiety suppression** — general CNS depression reduces anxiety and rumination
5. **Constipation** — peripheral MOR activation in GI tract reduces motility; dose-dependent; very common in clinical practice [Refs 10, 11]
6. **Nausea** — central trigger zone (CTZ) activation; common especially with first doses or dose escalation [Refs 10, 11]
7. **Pupil constriction (miosis)** — Edinger-Westphal nucleus activation; diagnostic sign of opioid intoxication [Ref 25]
8. **Respiratory depression** — dose-dependent suppression of respiratory drive; primary mechanism of lethal overdose [Ref 25]
9. **Spontaneous body sensations** — the characteristic warm, itching, or flushing sensation of opioid administration, related to histamine release and MOR activation
10. **Appetite suppression** — documented in clinical opioid literature [Ref 10]
11. **Sexual arousal suppression** — opioid-induced hypogonadism; documented in chronic opioid users [Ref 10]

**Duration data from seed (oral IR):**
- Onset: 10–60 minutes
- Total duration: 4–8 hours
These values are pharmacologically consistent with IR oral opioid kinetics and cross-referenced against CDC prescribing guidance [Refs 8, 9]. **FLAG**: Specific controlled study of IR hydrocodone onset/duration not confirmed from primary pharmacokinetic papers in this research; values derived from clinical descriptions and class pharmacology.

---

## Safety & Toxicity

### Overdose and Fatality
The primary mechanism of lethal overdose is **progressive respiratory depression → apnea → hypoxic death**. Dolinak (2017 [Ref 25]) documents autopsy findings: pulmonary edema and congestion, frothy watery fluid in airways, consistent across opioid-related deaths. Pre-existing cardiorespiratory disease, obesity, or CNS depression from co-ingested substances dramatically lower the lethal threshold.

Harris et al. (JAMA 2026 [Ref 26]) reports opioid use disorder caused 53,774 US deaths in 2024 and affected 3.7% of adults — context for the magnitude of hydrocodone's class risk.

Paulozzi et al. (2006 [Ref 36]) established the causal link between opioid prescribing increases (including hydrocodone) and mortality: opioid analgesic poisoning exceeded heroin and cocaine deaths combined by 2002. Manchikanti (2012 [Ref 12]) documented that opioids became responsible for more deaths than suicide and motor vehicle crashes.

**Dose-Dependent Risk:**
The seed data characterizes acute and chronic toxicity as "high" and notes potential fatality at heavy dosages. This is consistent with the published literature. No specific LD50 studies in humans exist (ethical constraints). In naïve individuals, doses well within the "heavy" range (40+ mg) may be lethal, particularly with CNS depressant co-ingestion. Opioid-tolerant individuals may require much higher doses to achieve the same respiratory depression.

**Acetaminophen Hepatotoxicity (Combination Products):**
The most-used formulations pair hydrocodone with acetaminophen. Yoon et al. (2016 [Ref — see OpenAlex results]) document that acetaminophen accounts for >50% of US overdose-related acute liver failure. The FDA mandated in 2014 that combination products contain no more than 325 mg acetaminophen per dosage unit to limit hepatotoxicity risk. This is a critical safety distinction: **hepatotoxicity risk in hydrocodone overdose typically comes from the acetaminophen component, not hydrocodone itself**.

### Naloxone Reversal
Naloxone is a competitive MOR antagonist that effectively reverses opioid-induced respiratory depression and can be lifesaving in hydrocodone overdose [Ref 26]. Multiple doses may be required given hydrocodone's duration of action (4–8 hours), as naloxone's duration (30–90 min IV) may be shorter.

---

## Harm Reduction

### Published Risk Reduction Strategies

1. **Avoid CNS depressant combinations**: Benzodiazepines, alcohol, GHB/GBL, muscle relaxants, and other sedating substances potentiate respiratory depression and dramatically increase fatality risk [Refs 16, 24, 30, 35]
2. **CYP2D6 awareness**: Poor metabolizers may experience inadequate analgesia and be at risk of escalating doses; ultra-rapid metabolizers may experience stronger effects at standard doses [Refs 1, 2, 13]
3. **Never combine with high-proof alcohol**: 40% ethanol significantly increases hydrocodone Cmax and accelerates Tmax even for the ER formulation [Ref 16]
4. **Naloxone access**: Take-home naloxone programs are effective at reducing opioid overdose mortality [Ref 26]
5. **Avoid in liver impairment**: Altered CYP3A4 activity changes norhydrocodone:hydromorphone ratio and increases unpredictability
6. **Never share prescriptions**: Opioid combination products contain acetaminophen; untrained users may exceed safe acetaminophen limits

### Contraindications (from literature and class pharmacology)
- Severe respiratory depression or acute asthma (package insert level)
- Concurrent MAOI use (serotonergic risk via mechanisms not fully characterized for hydrocodone)
- Known hypersensitivity to hydrocodone
- Pregnancy: neonatal opioid withdrawal syndrome (NOWS) documented; data gaps noted for maternal pharmacokinetics [Ref 15]
- Head injury/elevated ICP: opioids increase CSF pressure and confound neurological assessment

---

## Tolerance & Dependence

### Tolerance Development
Opioid tolerance develops through μ-opioid receptor desensitization (GRK phosphorylation → β-arrestin recruitment → receptor internalization) and downregulation. Cellular studies in Neuro2A cells expressing cloned MOR confirm time- and concentration-dependent desensitization with complete cross-tolerance demonstrated across MOR agonists. Tolerance typically manifests as reduced analgesic effect requiring dose escalation. The seed data characterizes tolerance buildup as "with prolonged use," consistent with the published literature. Cross-tolerance occurs with all MOR agonists.

**Tolerance Reset Timeline (seed data, consistent with class pharmacology):**
- Half-life of tolerance: 5 days
- Full reset: ~1.5 weeks
These values are broadly consistent with clinical observations of opioid tapering but are not confirmed by specific hydrocodone tolerance studies; FLAG noted below.

### Dependence and Withdrawal
Physical and psychological dependence develop with regular use. The opioid withdrawal syndrome is characterized by anxiety, insomnia, muscle pain, GI distress (nausea, vomiting, diarrhea), sweating, piloerection, yawning, and tachycardia, reflecting rebound sympathetic activation when MOR agonism is withdrawn.

The seed data rates physical and psychological dependence both as "moderate" — appropriate for a Schedule II full MOR agonist. Hydrocodone produces milder physical dependence than high-potency opioids (heroin, hydromorphone) but more than partial agonists (buprenorphine) at equivalent analgesic doses.

Treatment options: buprenorphine-naloxone (partial agonist substitution), methadone (full agonist substitution), naltrexone (antagonist relapse prevention), all with evidence base reviewed by Harris et al. (JAMA 2026 [Ref 26]).

---

## Interactions

### Interactions Listed in Brief — Verified Against Literature

**Alcohol — LETHAL**
*Confirmed.* Pharmacodynamic mechanism (additive CNS and respiratory depression) plus pharmacokinetic mechanism (40% ethanol increases Cmax ~135% and shortens Tmax) documented by Farr et al. (2015 [Ref 16]). Even lower alcohol concentrations (20%) increase adverse event rates. Jann et al. (2014 [Ref 24]) confirm alcohol+opioid combinations as a major contributor to fatal overdose. Evidence quality: high.

**GBL/GHB — LETHAL**
*Confirmed by mechanism.* GHB acts as a GABA-B receptor agonist, producing CNS depression via GABAergic and endogenous GHB receptor pathways. Combined with opioid MOR-mediated CNS depression, the result is additive or synergistic respiratory depression [Ref 30]. Critically, **naloxone does not reverse GHB-induced respiratory depression** — only opioid-mediated effects are reversed. No published hydrocodone+GHB-specific case series identified; interaction is supported by class pharmacology and GHB toxicology literature [Ref 30].

**Tramadol — LETHAL**
*Supported by mechanism; interaction is complex.* Tramadol is a dual-mechanism drug: MOR agonism (via active M1 metabolite) plus serotonin/norepinephrine reuptake inhibition. Combined with hydrocodone (full MOR agonist), the result is additive opioid-mediated respiratory depression. Additionally, tramadol lowers seizure threshold, and the combination increases seizure risk. Lagard et al. (2016 [Ref — from tramadol search]) demonstrate that benzodiazepine+tramadol paradoxically worsens respiratory depression. Evidence quality: moderate (animal data; class pharmacology reasoning; limited direct hydrocodone+tramadol human data).

**Ketamine — LETHAL (per brief)**
*Partially supported.* Ketamine is a dissociative NMDA antagonist with dose-dependent CNS depressant effects at subanesthetic doses. Co-administration with opioids is standard in procedural sedation when carefully monitored, but combined CNS depression, cardiovascular suppression, and respiratory effects at recreational doses can be dangerous. No hydrocodone+ketamine-specific lethality data identified; interaction is supported by class-level CNS depression pharmacology. Evidence quality: weak for the "lethal" classification specifically.

**Nitrous Oxide — UNKNOWN (per brief)**
Literature on hydrocodone+nitrous oxide interaction is essentially absent. Nitrous oxide has weak MOR agonist activity and can enhance opioid analgesia. Combination increases CNS depression and may enhance respiratory impairment. Categorized as unknown is appropriate; evidence quality: insufficient.

**PCP — UNKNOWN (per brief)**
No hydrocodone+PCP interaction data identified. Both are CNS-active; combined CNS depression is plausible. Evidence quality: insufficient.

### Additional Interactions from Literature

**Benzodiazepines (not listed in brief but safety-critical):**
Fields et al. (2015 [Ref 35]) found alprazolam+diazepam co-ingestion significantly decreased hydrocodone blood concentrations in postmortem cases (likely via CYP3A4 competition) while deaths still occurred — indicating synergistic CNS toxicity occurring at lower drug concentrations. Jann et al. (2014 [Ref 24]) confirm 5-fold increase in benzodiazepine-related deaths from 1999–2009, largely driven by opioid co-ingestion. **FLAG:** Benzodiazepines are absent from the brief's interactions list but are a primary cause of opioid overdose death and should be added as at minimum a "dangerous" or "lethal" interaction.

**CYP2D6 Inhibitors (paroxetine, fluoxetine, bupropion):**
Substantially reduce hydromorphone formation, potentially reducing analgesia without reducing sedation or respiratory depression (since hydrocodone itself still contributes to both). Clinical significance: analgesia-sedation dissociation in poor metabolizers and with CYP2D6 inhibitors [Refs 2, 5].

**CYP3A4 Inhibitors (azole antifungals, clarithromycin, grapefruit):**
Would be expected to reduce norhydrocodone formation, shifting balance toward more hydromorphone production and potentially increasing respiratory depression risk. No direct hydrocodone+CYP3A4 inhibitor clinical study identified in this research.

---

## Legal Status

| Jurisdiction | Schedule/Classification | Notes |
|---|---|---|
| United States | Schedule II (DEA) | Effective October 6, 2014; HCPs previously Schedule III (1970–2014) [Ref 19] |
| United Kingdom | Class A, Controlled Drug | Misuse of Drugs Act 1971 [web-retrieved] |
| Canada | Controlled substance (narcotic) | Available as Hycodan brand [Ref 18] |
| Australia | Schedule 8 (inferred) | Strong opioids are typically Schedule 8 under SUSMP; not confirmed from primary regulatory source |
| EU | Controlled narcotic | Not commercially available in most EU states |

**FLAG:** Australia scheduling confirmed by inference only. A primary source check with the TGA/SUSMP database is recommended before publication. Canadian scheduling classification (CDSA schedule number) was not confirmed from primary source.

---

## Clinical Trials

### Relevant Completed Trials

**NCT00402792 (Phase 3, Completed, Abbott)**
- Title: A Study of Extended-Release Hydrocodone/Acetaminophen (Vicodin CR®) in Subjects With Acute Pain Following Bunionectomy
- Condition: Acute Pain
- Sponsor: Abbott
- Status: Completed [Ref 32]

**NCT01333722 (Phase 2, Completed, Abbott/AbbVie)**
- Title: Acute Pain Study Following Bunionectomy
- Condition: Acute Pain
- Sponsor: AbbVie (prior Abbott)
- Status: Completed [Ref 33]

### Recent Comparative Trials
Suzetrigine (VX-548) Phase 3 trials (Bertoch et al. 2025 [PMID 40117446]) compared the novel NaV1.8 inhibitor against hydrocodone bitartrate 5 mg/acetaminophen 300 mg as an active comparator in bunionectomy and abdominoplasty pain. VX-548 showed non-inferior efficacy to hydrocodone/APAP in these trials — establishing hydrocodone/APAP as the current clinical standard against which novel analgesics are benchmarked.

Farrar et al. (2022 [PMID 34261978]) conducted a harmonization analysis of FDA patient-level data from abuse-deterrent oxycodone and hydrocodone studies: only ~44.5% of 3,192 chronic non-cancer pain patients maintained pain level and opioid dose stability over 12 months.

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## Community Feedback Analysis

**No community feedback submitted.** Part A2 of the brief is empty. Standard research directives applied.

---

## Gaps & Flags

### Data Gaps

1. **Immediate-release (IR) PK parameters**: Tmax, bioavailability, Cmax for standard IR hydrocodone tablets (e.g., 5 mg, 10 mg) were not found in primary PK studies in this research run. IR PK data is referenced in prescribing labels but primary clinical pharmacokinetic study data specific to IR formulations was not retrieved. The brief's onset data (10–60 min) is consistent with expected IR opioid Tmax but not confirmed from a specific primary source.

2. **Oral bioavailability percentage**: A specific bioavailability figure (%) for oral hydrocodone was not found in the retrieved literature. PK studies provide AUC and Cmax data but absolute bioavailability vs. IV reference is not established in the papers reviewed.

3. **KOR binding affinity**: The brief classifies hydrocodone as a κ-opioid receptor agonist, but no published Ki or EC50 data at KOR were found in primary pharmacological literature. The classification may derive from structural analogy with morphinan opioids. **FLAG for editorial review**: KOR agonism is not supported by primary pharmacological literature reviewed here.

4. **Physical properties**: Melting point, aqueous solubility, and LogP for hydrocodone were not retrieved. These are likely in Chemeo/NIST databases but were not confirmed through API tools in this research.

5. **LD50 data**: No published human LD50 or TI (therapeutic index) data for hydrocodone. Rat LD50 data likely exists in pharmaceutical literature but was not retrieved.

6. **Protein binding**: Hydrocodone protein binding data (expected ~35–45% for morphinan opioids) was not retrieved from primary sources.

### Safety-Critical Flags

7. **Benzodiazepine interaction missing from seed**: The brief's interaction list does not include benzodiazepines despite strong published evidence (Fields 2015 [Ref 35]; Jann 2014 [Ref 24]) that benzo+opioid combinations substantially increase overdose mortality. **Recommend adding benzodiazepines as a "lethal" or at minimum "dangerous" interaction**. This is a significant safety gap.

8. **Ketamine "lethal" classification**: The brief rates the ketamine interaction as lethal. Literature support for this specific combination is weak — the interaction is theoretically plausible via additive CNS depression but no direct hydrocodone+ketamine lethality data was found. May need downgrade to "dangerous" pending more specific evidence.

9. **Tolerance reset timeline not confirmed from primary sources**: The seed data tolerance half-life (5 days) and full reset (1.5 weeks) are broadly plausible for a short-acting opioid but were not confirmed against hydrocodone-specific tolerance studies.

10. **Australia scheduling**: Classified as Schedule 8 by inference only. Requires primary regulatory source confirmation.

11. **KOR agonist classification**: Not supported by primary binding literature reviewed. Recommend flagging this for editorial review before article generation uses it.

12. **Dose data note**: The brief's dose ranges (Threshold 3 mg; Light 5–10 mg; Common 10–25 mg; Strong 25–40 mg; Heavy 40+ mg) are for oral IR hydrocodone and appear pharmacologically reasonable. These are higher than typical starting analgesic doses for opioid-naive patients (5 mg), which likely reflects the recreational/psychoactive context. No specific primary study validating these exact recreational dose thresholds was identified; values are consistent with class pharmacology and appear to reflect community-derived data that is structurally plausible.

### Contradictions

13. **"Emerging" characterization in seed**: The brief categorizes hydrocodone as "emerging," which conflicts with its status as one of the most-studied, most-prescribed, and most-regulated opioids in history. This is almost certainly a database error. Hydrocodone is extremely well-characterized in the medical literature.

14. **KOR classification vs. literature**: Brief lists "Kappa-opioid receptor agonist" as a pharmacological class. This is not supported by the primary binding affinity literature reviewed and should be reviewed by an editor.