The Over-prescription of Ritalin for Suspected Cases of ADHD
Bibliographic record
Abstract
Methylphenidate (Ritalin), the current leading form of treatment for Attention Deficit Hyperactivity Disorder (ADHD), has seen a dramatic increase in prescription rate over the past ten years. No contemporary biological basis for ADHD diagnosis results in physicians making their diagnoses based on behavioural symptoms such as hyperactivity and inability to focus. Considering that these symptoms are behaviours that anyone may express at one point in their life, the risk of over-diagnosis of the disease increases. This may subsequently lead to over-prescription of Ritalin. This paper aims to evaluate and identify the causes and effects of Ritalin over-prescription. Key literature on ADHD reveals that the diagnostic criteria for ADHD has undergone various modifications since the disease was first identified; therefore, different experts may have different opinions on what are regarded as symptoms of the disorder. Furthermore, recent research has demonstrated that Ritalin can increase cognitive performance in both healthy individuals and in ADHD patients. Such data indicates that Ritalin has the potential to be abused by healthy individuals looking to increase their cognitive performance. Correspondingly, Ritalin has been reported to be used by college students to boost their academic performance. In addition, the over-prescription of Ritalin raises several ethical issues: as children are the most common age group to be diagnosed with the disease, critics question whether prescribing a drug for a behaviourally based diagnosed disease is appropriate; also it is thought that the drug may affect the originality and creativity of the children which may hinder their personal development. While alternative behavioural therapy is available for the disorder, it tends to be more expensive and time-consuming than a drug prescription; this may explain why Ritalin remains the dominant form of treatment. This paper concludes that the prescription of drugs for ADHD should be cautioned and that more time and resources should be invested on developing consistent diagnostic criteria as well as potential alternative treatments to drugs for the disorder.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".