Update on the clinical use of buprenorphine: in opioid-related disorders.
Bibliographic record
Abstract
OBJECTIVE: To review the current evidence on buprenorphine-naloxone for the treatment of opioid-related disorders, with a focus on primary care settings. QUALITY OF EVIDENCE: MEDLINE and the Cochrane Database of Systematic Reviews were searched. Evidence is mainly level I. MAIN MESSAGE: Buprenorphine is a partial μ-opioid agonist and κ-opioid antagonist with a long half-life and less abuse potential than methadone. For detoxification, buprenorphine is at least equivalent to methadone and is superior to clonidine. For maintenance treatment, buprenorphine is clearly superior to placebo. Methadone has a slight advantage in terms of retention in treatment, but a stepped approach with initial use of buprenorphine-naloxone is as efficacious. Use of buprenorphine in the primary care setting is feasible, safe, and effective. Authorization to prescribe buprenorphine can be obtained after completing online training. CONCLUSION: Buprenorphine is a safe and effective agent for detoxification from opioids. It can be used as a first-line agent in maintenance programs, owing to its lower abuse potential relative to other opioids. Its effectiveness in primary care settings makes it a useful therapeutic tool for family physicians.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".