Non-Medical Use of Psychotropic Prescription Drugs Among Adolescents in Substance Use Treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Little is known about the extent of non-medical use of prescription drugs among European adolescents with substance use disorders. This cross-sectional study examined non-medical use of seven categories of psychotropic prescription drugs (opioid analgesics, ADHD stimulant, sleeping, sedative/anxiolytic, antipsychotic, antidepressant, and anabolic steroid medications) in a clinical sample of Irish adolescents with substance use disorders. Of the 85 adolescents (aged 13-18 years) invited to participate, 65 adolescents (M = 16.3 years, SD = 1.3) took part (response: 74%). Among respondents, 68% reported lifetime non-medical use of any of the prescription drugs; sedative/anxiolytic (62%) and sleeping medications (43%) were more commonly abused. The most frequently reported motives for abuse were "seeking high or buzz" (79%), "having good time" (63%), and "relief from boredom" (56%). Sharing among friends and street-level drug markets were the most readily available sources. Innovative solutions of control measures and intervention are required to address the abuse of prescription drugs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.002 |
| Open science | 0.000 | 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 it