Interpretation of Pharmaceutical Drug Concentrations in Young Children's Head Hair
Bibliographic record
Abstract
Three separate cases of child administration of prescription drugs are described. Following liquid-liquid extraction, high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was used to identify and quantify methadone, 2-ethylidene-1,5-dimethyl-3,3-diphenyl-1-pyrrolidine (EDDP), tramadol, amitriptyline, and nortriptyline in children's hair. The children's age ranged from 14 months to 7 years; in all three cases, the drug in question was detected in more than one section of hair. Methadone was detected in the concentration range of 0.65-0.99 and 0.04-0.4 ng/mg; tramadol was detected in the concentration range of 1.5-2.2 ng/mg; amitriptyline and nortriptyline were detected in the concentration range of 0.18-1.06 and 0.38-2.0 ng/mg, respectively. In each case, the children's parents admitted to or were found guilty of drug administration to the child. These cases demonstrate the added value of hair testing and emphasize the importance of using hair samples to complement conventional analyses.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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 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".