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Record W4415644366 · doi:10.3390/psychoactives4040038

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

2025· article· en· W4415644366 on OpenAlexaboutno aff
Sharmistha Roy, Ashis Kumar Biswas, Manoj Sharma

Bibliographic record

VenuePsychoactives · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCINAHLEthnic groupSuicide preventionYoung adultPoison controlInjury preventionOccupational safety and healthPsycINFOHuman factors and ergonomics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.355
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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