Psycho-emotional characteristics of persons addicted to synthetic drugs, depending on the timing of drugs cessation
Bibliographic record
Abstract
The research aim was to study the characteristics of psychoemotional response in persons with dependence on synthetic drugs (synthetic cathinones and synthetic cannabinoids) at different stages of abstinence from consumption of psychoactive substances. Methods. Clinical and pathopsychological examination of 127 patients with dependence on synthetic drugs was carried out. All patients are male. Of these, 83 people with a period of abstinence from 3 to 6 months and 44 people with a period of abstinence from 6 to 18 months. The control group consisted of 55 healthy men. We used a clinical interview, the Hospital Anxiety and Depression Scale, the A. Bass and A. Darki questionnaire for diagnosing the parameters of aggression, the STAXI questionnaire of the property-state and expression of anger, the Toronto Alexithymia Scale, the Life Style Index of KellermanPlutchek. Results. It was found that patients with dependence on synthetic drugs have a significantly higher level of anxiety, aggression, more pronounced manifestations of alexithymia in comparison with healthy patients, regardless of the duration of remission. It was revealed that in persons with abstinence from drug use for more than six months, on the one hand, the ability to control the manifestation of anger increases significantly, on the other hand, depressive manifestations intensify and suicidal risk increases in comparison with addicts with a shorter period of abstinence. Conclusion. Emotional disturbances in addicted to synthetic drugs (cathinones and cannabinoids) are persistent and persist even during periods of prolonged abstinence.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".