Detection of Clenbuterol in Heroin Users in Twelve Postmortem Cases at the Philadelphia Medical Examiner's Office
Bibliographic record
Abstract
The presence of clenbuterol, a beta2-adrenergic agonist banned for human use in the United States because of its serious side effects, is reported in a series of 12 postmortem cases in which the cause of death was attributed to illicit drug use. During the first three months of 2007, postmortem specimens from cases previously screening positive for opiates or fentanyl were screened specifically for clenbuterol using enzyme-linked immunosorbent assay. Confirmation of clenbuterol was performed using solid-phase extraction, derivatization with trimethylboroxine, and analysis utilizing a gas chromatograph-mass spectrometer (GC-MS) operated in the full-scan mode. The limits of detection and quantitation in blood were 2.5 and 5 ng/mL, respectively. Linearity was from 5 to 100 ng/mL. Clenbuterol was positive in 12/106 (11%) drug-related cases and in 12/575 (2.1%) of the total cases tested. In each of the 12 cases positive for clenbuterol, heroin use was either confirmed by the presence of 6-acetylmorphine or strongly suspected by the presence of morphine with a history of heroin abuse. Because the use of clenbuterol in the United States is restricted to veterinary medicine, its detection is an unexpected finding. Its presence in these cases serves as a caution to emergency room physicians and toxicologists to consider and test for clenbuterol when treating a suspected heroin user who presents atypically. This is the first known series of clenbuterol-positive cases of illicit drug users to be reported from a medical examiner's toxicology laboratory.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".