Suicidal Ideation, Suicide Attempts, and Non-Suicidal Self-Injury Associated with Opioid Misuse Among Adolescents and Young Adults in the USA: A Scoping Review of Emerging Patterns and Risks
Bibliographic record
Abstract
Opioid misuse and suicide among youth remain pressing public health challenges. This scoping review examined studies published between 2020 and 2024 on associations between opioid misuse and suicidal ideation, suicide attempts, or non-suicidal self-injury (NSSI) among adolescents and young adults aged 12–30, emphasizing sex and racial or ethnic differences. Guided by Arksey and O’Malley’s framework and PRISMA-ScR, we searched MEDLINE (PubMed), PsycINFO, Scopus, Embase, and CINAHL for peer-reviewed cross-sectional studies in English. Eligible studies assessed nonmedical prescription or illicit opioid use and excluded clinical or incarcerated samples and those with older participants. Seventeen studies met the inclusion criteria. Fifteen analyzed U.S. national or state data, one examined youth in the Northern Mariana Islands, and one used Canadian data. Sixteen studies identified a positive association between opioid misuse and suicide-related outcomes, while one showed a recency gradient, with current misuse carrying the highest risk. Other findings showed that frequent misuse increased risk, multiple substance use heightened danger, and females and youth from racial and ethnic minority groups were more vulnerable. Opioid misuse is strongly associated with suicide risk. Integrated, sex- and culturally responsive prevention strategies are needed, alongside further research clarifying mechanisms and protective factors.
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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 | 0.006 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".