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Population-Level Health Benefits and Harms Associated With Buprenorphine/Naloxone vs Methadone

2025· article· en· W7117293732 on OpenAlexaffabout
Benjamin Enns, Brenda Carolina Guerra‐Alejos, Jeong Eun Min, Addie Carter, Uwe Siebert, Bohdan Nosyk

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsSimon Fraser UniversityCentre for Advancing Health Outcomes
Fundersnot available
KeywordsMethadoneHealth benefitsHarmJurisdictionRisk assessmentMEDLINE

Abstract

fetched live from OpenAlex

Importance: In 2017, British Columbia guidelines changed the preferred first-line treatment for opioid use disorder from methadone to buprenorphine/naloxone. Systematic reviews have consistently shown better treatment retention associated with methadone, while studies have reported a reduced risk of mortality associated with buprenorphine/naloxone, causing confusion in interpretation for clinical guidelines. Objective: To estimate the population-level health benefits and harms associated with buprenorphine/naloxone vs methadone for treatment of opioid use disorder, accounting for differences in treatment retention and risk of mortality while receiving treatment. Design, setting, and participants: This decision analytic model analysis was conducted from January 1, 2010, to March 17, 2020, using a semi-Markov cohort model and linked population-level health administrative data on all individuals presenting for opioid agonist treatment in British Columbia, Canada. Hazard ratios were estimated for the association of buprenorphine/naloxone vs methadone with treatment discontinuation (breaks in dispensations lasting ≥5 days for methadone and ≥6 days for buprenorphine/naloxone) and mortality while receiving treatment (per protocol). Treatment episodes in primary analysis were based on the medication initiated (initiator analysis). Probabilistic (mean estimates and 95% credible intervals from 10 000 simulations) and deterministic sensitivity analyses were conducted. Data were analyzed between August 2023 and October 2024. Exposure: Alternative treatment policies in which buprenorphine/naloxone or methadone were exclusively available to individuals presenting for opioid agonist treatment. Main outcome and measures: Incremental life-years, fatal overdoses, and all-cause deaths. Results: The study population included 40 461 individuals with 109 126 cumulative person-years of follow-up (median [IQR] age, 33 [23-43] years; 66.0% [range, 56.0%-76.0%] male). A policy of exclusively buprenorphine/naloxone was estimated to have -1602 incremental life-years (95% credible interval, -3249 to -549 life-years) compared with methadone, with an additional 221 fatal overdoses (95% credible interval, 119 to 376 overdoses) and 303 all-cause deaths (95% credible interval, 120 to 589 deaths) over a 10-year period. Conclusions and relevance: Results from this study suggest that any advantages from a reduced risk of mortality with treatment with buprenorphine/naloxone were outweighed by deficits in treatment retention. Evaluated in a jurisdiction where both medications were available in office-based settings, these findings do not support recommendations of buprenorphine/naloxone as first-line treatment over methadone.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.309
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes2
Has abstractyes

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