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Rapid vs Standard Induction to Injectable Extended-Release Buprenorphine

2025· article· en· W4415156264 on OpenAlexaffabout
Rajinder Shiwach, Bernard Le Foll, Hannu Alho, Kelly E. Dunn, Stephanie Strafford, Yue Zhao, Robert L. Dobbins

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersIndivior
KeywordsBuprenorphineStandard of careMEDLINEOpioidFentanyl

Abstract

fetched live from OpenAlex

Importance: Standard induction (SI) using transmucosal buprenorphine-naloxone is challenging in individuals who inject opioids, use high doses of opioids, or use synthetic opioids (eg, fentanyl). Objective: To compare the effectiveness and safety of rapid induction (RI; single 4-mg dose of buprenorphine-naloxone) vs SI (≥7 days of buprenorphine-naloxone) followed by extended-release buprenorphine injection. Design, Setting, and Participants: This multicenter, open-label randomized clinical trial was conducted from October 26, 2021, to January 19, 2024, at 28 outpatient treatment centers in the US and Canada. Treatment-seeking participants with moderate or severe opioid use disorder who inject opioids, use high doses of opioids, or use fentanyl were studied. Interventions: Participants were randomized 2:1 to RI or SI before 300-mg injection of extended-release buprenorphine. Main Outcomes and Measures: The primary end point, retention rate difference at injection 2 (1 week after injection 1), was estimated by a bayesian approach. Posterior probability was estimated for noninferiority of RI to SI (RI - SI >-10%) and superiority (RI - SI >0%). Adverse events (AEs), including investigator-assessed opioid withdrawal symptoms, were reported. Subgroup analyses compared participants with positive or negative fentanyl urine drug screen results. Results: Analyses included 729 randomized participants (mean [SD] age, 40.7 [10.4] years; 406 [55.7%] male) who initiated transmucosal buprenorphine per protocol, including 474 in the RI arm and 255 in the SI arm. A total of 560 participants received extended-release buprenorphine injection 1 (409 [86.3%] in the RI arm and 151 [59.2%] in the SI arm), and 452 received injection 2 (314 [66.2%] in the RI arm and 138 [54.1%] in the SI arm). At injection 2, RI was noninferior with higher retention than SI (difference, 11.8%; 95% credible interval [CrI], 4.3%-19.0%; posterior probability greater than 0 was 99.9%). Similarly, among participants with a positive test result for fentanyl, the retention rate differential in favor of RI was 14.8% (95% CrI, 6.5%-23.7%; posterior probability greater than 0 was greater than 99.9%). AE incidence was not statistically different between RI and SI participants (202 [42.6%] vs 93 [35.5%]; difference, 6.1%; 95% CrI, -1.3% to 13.4%). Up to injection 2, most AEs were associated with opioid withdrawal. Conclusions and Relevance: In this multicenter randomized clinical trial, RI had higher retention than SI overall and in patients who tested positive for fentanyl through extended-release buprenorphine injection 2. Administration of injection 2 after 1 week was well tolerated and minimized time below target therapeutic levels of 2 ng/mL or greater compared with injection after 1 month. Trial Registration: ClinicalTrials.gov Identifier: NCT04995029.

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)0.016
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.015
GPT teacher head0.295
Teacher spread0.281 · 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 designRandomized trial
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".

Quick stats

Citations8
Published2025
Admission routes2
Has abstractyes

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