Patient and Clinician Perspectives on Adolescent Opioid Use Disorder Treatment During a Pandemic: One Step Back, but Two Forward?
Bibliographic record
Abstract
Opioid use disorder (OUD) is one of the most pressing public health problems in the United States and is highly prevalent among adolescents and young adults (AYAs). However, only a small percentage of AYAs with OUD ever receive treatment. Further, among those that do receive treatment, a substantial proportion of patients continue to struggle with OUD, and many prematurely drop out of treatment. These challenges have only been heightened in the face of the COVID-19 pandemic, but greater utilization of telehealth and mobile technologies by OUD patients may help counter these barriers, which ultimately may improve AYA OUD treatment in the postpandemic period. This viewpoint presents the perspective of a person in OUD recovery using online and mobile technology to support his own OUD recovery combined with thoughts from two clinicians supporting AYAs with OUD. Their perspectives may provide insights to help counter COVID-19-related consequences and offer clues to improving AYA OUD treatment in the long term.
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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 | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.009 | 0.019 |
| Insufficient payload (model declined to judge) | 0.006 | 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".