Initiation and Rapid Titration of Methadone in an Acute Care Setting for the Treatment of Opioid Use Disorder: 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: Although methadone is an effective treatment for opioid use disorder, its initiation requires prescribing at a subtherapeutic dose with subsequent titration to a therapeutic dose over many weeks. Accordingly, the methadone induction period can be a challenging one for individuals and can be associated with an increased risk for ongoing illicit drug use and consequently overdose. Given its capacity for regular clinical assessments, acute care settings may offer a unique opportunity to reduce the duration of the induction period for methadone maintenance therapy. CASE SUMMARY: We report a case of an individual who successfully completed initiation and rapid methadone titration for treatment of opioid use disorder in an acute care setting. DISCUSSION: Utilizing divided dosing intervals and regular monitoring for toxicity, the patient received a cumulative methadone dose of 130 mg total within the first 48 hours of admission with continuation of a similar dose subsequently. No adverse events occurred over a 9-day follow-up period. The case report described here highlights the potential acute care settings may offer for the successful initiation and rapid titration of methadone for the treatment of opioid use disorder. Such an approach could significantly reduce the induction period associated with methadone maintenance therapy and its associated negative outcomes including ongoing illicit substance use and risk for overdose.
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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 | 0.000 | 0.000 |
| 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 it