Barriers and Facilitators to Accessing Opioid Agonist Therapy for Street-involved Adolescents and Young Adults in Vancouver
Bibliographic record
Abstract
OBJECTIVE: Opioid agonist therapy (OAT) remains the first-line therapy for people with opioid use disorder. Whereas overdose rates among adolescents and young adults (AYAs) remain high, little is known about their access to OAT. Therefore, we sought to evaluate factors that shape access to OAT among AYAs aged 14 to 26 years. METHODS: Data were derived from the At-Risk Youth Study, a prospective cohort study that involves street-involved AYAs who use illicit substances in Vancouver, Canada. Generalized estimating equations were used to identify factors associated with OAT enrollment from September 2005 to October 2021. RESULTS: A total of 759 AYAs reported at least weekly opioid or OAT use, with a median age of 23 years and 65.7% self-identifying as male. At baseline, 147 participants (19.4%) were on OAT, and another 199 (26.2%) initiated OAT during study follow-up (median number of follow-up visits, 5 [Q1-Q3, 2.5-8]). In a multivariable analysis, being <19 years old (adjusted odds ratio [AOR], 0.40; 95% confidence interval [CI], 0.23-0.71), Indigenous ancestry (OR, 0.72; 95% CI, 0.52-1.00), homelessness (AOR, 0.65; 95% CI, 0.54-0.77), drug dealing (AOR, 0.73; 95% CI, 0.61-0.87), daily opioid use (AOR, 0.47; 95% CI, 0.40-0.55), and nonfatal overdose (AOR, 0.73; 95% CI, 0.60-0.89) were negatively associated with OAT use. CONCLUSIONS: This study identified a low rate of OAT access among AYAs. Adolescents and young adults were less likely to be on OAT if they were <19 years old, Indigenous, and possessed certain risk markers. These findings highlight the need for mitigation strategies to facilitate OAT access for this population and for additional harm reduction measures to support AYAs who do not want to use OAT.
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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) | 0.000 | 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 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".