Anhedonia and Social Adaptation Predict Substance Abuse Evolution in Dual Diagnosis Schizophrenia
Bibliographic record
Abstract
The current study sought to identify the variables, derived from the self-medication hypothesis, which predicted substance abuse evolution during a homogeneous 3-month antipsychotic treatment. Twenty-four patients were diagnosed with schizophrenia and substance abuse (mainly cannabis and alcohol). Substance abuse, psychiatric symptoms, anhedonia, and social adjustment were assessed at baseline and study endpoint. Linear regression analyses were performed. Better social adaptation and worse anhedonia predicted substance abuse improvements. Conversely, greater psychoactive substance (PAS) use predicted endpoint positive and depressive symptoms. These results suggest that: (i) substance abuse interferes with psychiatric prognosis in schizophrenia; and (ii) dual diagnosis treatments leading patients to engage in alternative social activities may render substance abuse less appealing. Further studies are warranted to dissociate the causes and consequences of substance abuse in schizophrenia.
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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 | 0.000 |
| 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".