From attention‐deficit/hyperactivity disorder to medical stimulant use to the diversion of prescribed stimulants to non‐medical stimulant use: connecting the dots
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
AIMS: To describe the connections among the likelihood of attention deficit/hyperactivity disorder (ADHD), medical and non-medical methylphenidate and amphetamine use and the diversion of prescribed methylphenidate in the general adolescent population. DESIGN: Cross-sectional self-reported anonymous data from the 2002 Student Drug Use Survey in the Atlantic Provinces. SETTING: The Atlantic provinces of Canada. PARTICIPANTS: A total of 12,990 students participated. MEASUREMENTS: The outcomes were a positive ADHD screening test, medical and non-medical use of methylphenidate, medical and non-medical use of amphetamine and the giving and selling of methylphenidate medication by students with a prescription. The Ontario Child Health Study Hyperactivity Scale was used to screen for ADHD. FINDINGS: The prevalence of a positive ADHD screening test was 6% with no significant gender difference. The prevalence of medical and non-medical methylphenidate use and medical and non-medical amphetamine use was 2.0%, 6.6%, 1.2% and 8.7%, respectively. A positive ADHD screening test was independently predictive of these four patterns of use. About 26% of students with prescribed methylphenidate gave or sold some of their medication. Students in a class where at least one student had given or sold some of their prescribed pills had a 1.52-fold increased risk of non-medical methylphenidate use than their counterparts in classes where no giving or selling had taken place. CONCLUSIONS: Connections were demonstrated at the population level between ADHD, medical methylphenidate use, the diversion of prescribed methylphenidate and the non-medical use of methylphenidate. The appropriate assessment and management of ADHD are essential to minimize both the risk of diversion and of substance use associated with unrecognized or untreated ADHD.
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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 | 0.002 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it