Feasibility and effectiveness of extended-release buprenorphine (XR-BUP) among correctional populations: a systematic review
Bibliographic record
Abstract
Background: Medications for opioid use disorder (MOUD) reduce risks for overdose among correctional populations. Among other barriers, daily dosing requirements hinder treatment continuity post-release. Extended-release buprenorphine (XR-BUP) may therefore be beneficial. However, limited evidence exists.Objectives: To conduct a systematic review examining the feasibility and effectiveness of XR-BUP among correctional populations.Methods: Searches were carried out in Pubmed, Embase, and PsychINFO in October 2023. Ten studies reporting on feasibility or effectiveness of XR-BUP were included, representing n = 819 total individuals (81.6% male). Data were extracted and narratively reported under the following main outcomes: 1) Feasibility; 2) Effectiveness; and 3) Barriers and Facilitators.Results: Studies were heterogeneous. Correctional populations were two times readier to try XR-BUP compared to non-correctional populations. XR-BUP was feasible and safe, with no diversion, overdoses, or deaths; several negative side effects were reported. Compared to other MOUD, XR-BUP significantly reduced drug use, resulted in similar or higher treatment retention rates, fewer re-incarcerations, and was cost-beneficial, with a lower overall monthly/yearly cost. Barriers to XR-BUP, such as side effects and a fear of needles, as well as facilitators, such as a lowered risk of opioid relapse, were also identified.Conclusion: XR-BUP appears to be a feasible and potentially effective alternative treatment option for correctional populations with OUD. XR-BUP may reduce community release-related risks, such as opioid use and overdose risk, as well as barriers to treatment retention. Efforts to expand access to and uptake of XR-BUP among correctional populations are warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".