Associations between use of cocaine, amphetamines, or psychedelics and psychotic symptoms in a community sample
Bibliographic record
Abstract
OBJECTIVE: To investigate the association between use of cocaine, amphetamines, or psychedelics and psychotic symptoms. METHOD: Cumulated lifetime data from a prospective, longitudinal community study of 2588 adolescents and young adults in Munich, Germany, were used. Substance use at baseline, 4-year and 10-year follow-up and psychotic symptoms at 4-year and 10-year follow-up were assessed using the Munich-Composite International Diagnostic Interview. Data from all assessment waves were aggregated, and multinomial logistic regression analyses were performed. Additional analyses adjusted for sociodemographics, common mental disorders, other substance use, and childhood adversity (adjusted odds ratios, AOR). RESULTS: After adjusting for potential confounders, lifetime experience of two or more psychotic symptoms was associated with lifetime use of cocaine (AOR 1.94; 95% CI 1.10-3.45) and psychedelics (AOR 2.37; 95% CI 1.20-4.66). Additionally, when mood or anxiety disorders were excluded, lifetime experience of two or more psychotic symptoms was associated with use of psychedelics (AOR 3.56; 95% CI 1.20-10.61). CONCLUSION: Associations between psychotic symptoms and use of cocaine, and/or psychedelics in adolescents and young adults call for further studies to elucidate risk factors and developmental pathways.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".