Strategies for Transfer From Methadone to Buprenorphine for Treatment of Opioid Use Disorders and Associated Outcomes: A Systematic Review
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To review the currently available evidence on transfer strategies from methadone to sublingual buprenorphine used in clinical trials and observational studies of medication for opioid use disorder treatment, and to consider whether any strategies yield better clinical outcomes than others. METHODS: Six medical and public health databases were searched for articles and conference abstracts. The Cochrane Central Register of Controlled Trials and the World Health Organization International Clinical Trials Registry Platform were used to identify unpublished trial results. Records were dually screened, and data were extracted and checked independently. Results were summarized qualitatively and, when possible, analyzed quantitatively. RESULTS: Eighteen studies described transfer from methadone to buprenorphine. Transfer protocols were extremely varied. Most studies reported successful rates of transfer, even among studies involving transfer from high methadone doses, although lower pretransfer methadone dose was significantly associated with higher rate of successful transfer. Precipitated withdrawal was not reported frequently. A range of innovative approaches to transfer from methadone to buprenorphine remains untested. CONCLUSIONS: Few studies have used designs that enable comparison of different approaches to transfer patients from methadone to buprenorphine. Most international clinical guidelines provide recommendations consistent with the available evidence. However, clinical guidelines should be perceived as providing "guidance" rather than "protocols," and clinicians and patients need to exercise judgment when attempting transfers.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it