Treatment of opioid use disorder in an innovative community-based setting after multiple treatment attempts in a woman with untreated HIV
Bibliographic record
Abstract
Opioid use disorder is associated with significant health and social harms. Various evidence-based interventions have proven successful in mitigating these harms, including harm reduction strategies and pharmacological treatment such as methadone. We present a case of a 35-year-old HIV-positive woman who was off antiretroviral therapy due to untreated opioid use disorder, and had a history of frequently self-discharging from hospital against medical advice. During the most recent hospital admission, the patient was transferred to an innovative community-based clinical support residence that supported harm reduction. Initially, she received methadone to only manage the withdrawal symptoms rather than for long-term maintenance therapy. However, with gradual dose increases to treat cravings and withdrawal, she ultimately discontinued all drug use and reinitiated antiretroviral therapy. This case highlights that patients whose goal is not abstinence can be successfully treated for acute medical illnesses and comorbid substance use disorders using harm reduction approaches, including appropriate dosing of pharmacotherapy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".