Incidence of buprenorphine‐precipitated opioid withdrawal in adults with opioid use disorder: A systematic review
Bibliographic record
Abstract
BACKGROUND AND AIMS: Buprenorphine is an evidence-based treatment for opioid use disorder, and the risk of precipitated withdrawal contributes to its underuse. The goal of this systematic review was to determine the incidence of buprenorphine-precipitated withdrawal in adults with opioid use disorder. METHODS: This systematic review was registered on PROSPERO (CRD42023437634). We searched Medline, Embase Classic + Embase, and Cochrane CENTRAL from inception to 10 November 2023, and included original research that reported the incidence of sublingual buprenorphine-precipitated withdrawal in adults with opioid use disorder. Primary screening was completed by four independent reviewers. Full text review, data extraction and risk of bias assessments using the Newcastle Ottawa Scale and the Cochrane Risk of Bias 2 tool were completed by two independent reviewers. The primary outcome was precipitated withdrawal. Secondary outcomes were baseline opioids used, induction dose, initial Clinical Opiate Withdrawal Scale (COWS) score, location of induction, definition and severity of precipitated withdrawal and adverse events. The range of incidence of precipitated withdrawal across studies was described. RESULTS: Our search yielded 10 197 unique citations. Twenty-one cohort and five randomized trials met inclusion criteria (n = 4497, range 20-1293). The overall incidence of precipitated withdrawal ranged from 0 to 13.2%. Nine studies defined precipitated withdrawal; definitions were inconsistent. Most patients used heroin at baseline. The most common initial dose of buprenorphine was between 2 mg and 8 mg (range: 0.075 mg-24 mg). Initial minimum COWS score ranged from 5 to 13. Induction locations included home, inpatient, emergency department, pre-hospital, outpatient and residential units. Of the fifteen studies with cases of precipitated withdrawal, nine studies did not report the severity of withdrawal experienced. Other induction-related adverse events varied. The overall quality of included studies was poor. CONCLUSIONS: The best available evidence suggests the incidence of buprenorphine-precipitated withdrawal in adults with opioid use disorder is low and should not be a barrier to use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".