Self-Reports of Illegal Activity, SCL-90–R Personality Scales, and Urine Tests in Methadone Patients
Bibliographic record
Abstract
In routine work, medical staff usually has to rely on the patient's self-reports of criminal activity and of recent involvement in fights. This study examines how these self-reports of crime correlate with the patients' routine urine tests and personality measures. Pearson correlations of these self-reports by 55 methadone patients (M age = 34.1 yr., SD = 9.1; 35 men, 20 women) were calculated to their urine screening tests (those for opiates, benzodiazepines, and cocaine) and to personality scores on the Symptom Checklist 90-Revised (SCL-90-R). Patients who reported being involved in recent illegal activities to obtain drugs had significantly higher scores on the SCL-90-R scale assessing obsessive-compulsive symptoms (r = .28) and had more frequent positive urine tests for cocaine (r = .35). Those who reported having engaged in fights within the last 12 mo. had higher scores on SCL-90-R measures of somatic complaints (r = .32), anxiety (r = .31), and depression (r = .29), and of overall psychopathology (r = .29), and they also had more often positive urine tests for cocaine (r = .28) than other patients. Studies on larger samples are needed to help clinicians to predict criminal or hostile behavior during methadone treatment.
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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 | 0.000 |
| 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".