Which medications used in paediatric practice have demonstrated natural health product-drug interactions?
Bibliographic record
Abstract
A recent Canadian survey (1) of 1804 children and youth suggested that 49% had tried one or more complementary and alternative medicine therapies and 41% had used a natural health product (NHP) in the previous year. Similarly, a three-month survey (2) of 142 families in an American paediatric emergency department suggested that 45% of caregivers had given their children an herbal remedy in the previous year. NHP use may be much higher within certain subgroups of the child and youth population (eg, children with serious and/or chronic conditions, such as cancer, cystic fibrosis, asthma, attention deficit hyperactivity disorder and eating disorders) (3–7). In particular, NHP use may be highest in paediatric populations with chronic disease who suffer relapses or other setbacks (3). Surveys have also shown that rates of NHP use are high (70%) among homeless youth, many of whom suffer from chronic mental and physical health conditions (8). Indeed, because children with serious, chronic or recurrent illnesses are the most likely to be on concurrent prescription medications, they may have the highest risk for clinically relevant NHP-drug interactions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".