Bibliographic record
Abstract
OBJECTIVES: Cocaine abuse is widespread in Europe, and Ireland ranks among the leading countries for prevalence of cocaine use among adolescents. This study aimed to examine demographic and substance use correlates of lifetime cocaine use among adolescents with substance use disorder, and to explore the relationship between alcohol intoxication and cocaine initiation. METHODS: Data from a cross-sectional study of 171 adolescents presenting to an outpatient substance abuse treatment program in the Dublin metropolitan area were analyzed. Bivariate and multivariate analyses were conducted. RESULTS: Approximately 64% of the participants reported ever used cocaine: 70% reported the first use of cocaine was while alcohol intoxicated and 96% reported the onset of cocaine use was preceded by cannabis use. Later age at treatment entry, unstable accommodation, non engagement in educational/vocational functions, and greater frequency of alcohol and cannabis use had robust associations with lifetime cocaine use. Male gender was significantly associated with first use of cocaine while alcohol intoxicated. CONCLUSIONS: Alcohol frequently plays a central role in cocaine initiation in Irish adolescents. Efforts to delay, avoid, or reduce adolescent drinking may yield benefits in terms of reducing cocaine use initiation in this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".