Patient-elected low-dose intravenous naloxone for rapid buprenorphine induction: a case report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Buprenorphine is a common partial opioid agonist treatment for opioid use disorder (OUD). Despite its efficacy, major challenges to induction include the significant time consumption and the difficult requirement for patients to be in moderate opioid withdrawal. CASE PRESENTATION: We present the case of a 31-year-old man with severe OUD and regular fentanyl use who was successfully initiated on buprenorphine-naloxone using low-dose intravenous naloxone in ten minutes and administered 300 mg of extended-release injectable buprenorphine within two hours. This involved the rapid administration of small doses of intravenous naloxone with an assessment of withdrawal symptoms after each dose. Buprenorphine-naloxone is immediately administered once moderate withdrawal is reached. CONCLUSIONS: Low-dose intravenous naloxone provides an alternative method of buprenorphine induction that limits the experience of withdrawal to a shorter time window compared to existing protocols.
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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 | 0.003 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it