Buprenorphine in the emergency department: Randomized clinical controlled trial of clonidine versus buprenorphine for the treatment of opioid withdrawal.
Bibliographic record
Abstract
OBJECTIVE: To compare buprenorphine to clonidine for the treatment of opioid withdrawal in the emergency department (ED) and to study the effect assigned treatment medication had on longer-term addiction treatment outcomes. DESIGN: Randomized controlled trial. SETTING: Toronto, Ont. PARTICIPANTS: Twenty-six patients presenting to the ED while in opioid withdrawal or soon to be in opioid withdrawal. MAIN OUTCOME MEASURES: Patients were randomized to receive either clonidine or buprenorphine treatment. Both groups also received a corresponding discharge prescription and information on how to follow up in the addictions rapid access clinic (RAC) within a few days. Participants were followed for 1 month with respect to attendance at the RAC and to opioid agonist treatment status. Outcome measures included attendance at the RAC within 5 days of the initial ED visit and opioid agonist treatment status at 1 month (as determined by clinic attendance or self-report during a follow-up telephone interview). RESULTS: = .011). CONCLUSION: When opioid withdrawal is treated with buprenorphine in the ED, patients are more likely to be receiving opioid agonist treatment and connected with addiction treatment 1 month later. TRIAL REGISTRATION NUMBER: NCT03174067 (ClinicalTrials.gov).
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".