Medication-assisted treatment for youth with opioid use disorder: Current dilemmas and remaining questions
Bibliographic record
Abstract
The prevalence of risky opioid use, opioid use disorder, and related harms continue to rise among youth (adolescents and young adults age 15-25) in North America. With an increasing number of opioid overdoses, there remain significant barriers to care for youth with opioid use disorder, and there is an urgent need to expand evidence-based care for treatment of opioid use disorder among this population. Based on the extensive literature on treatment of opioid use disorder among adults, medicated-assisted treatment is likely to be an important or even essential component of treatment of opioid use disorder for most youth. In this article, we outline the current dilemmas and questions regarding the use of medication-assisted treatment among youth with opioid use disorder and propose some potential solutions based on the current evidence.
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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 | 0.025 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".