Acetyl Fentanyl Toxicity: Two Case Reports
Bibliographic record
Abstract
Acetyl fentanyl is an illicit fentanyl analog recently appearing in forensic casework. A quantitative method was created for measuring acetyl fentanyl in various biological matrices acquired post-mortem due to recent positive screening results in casework. Initial detection by immunoassay and standard gas chromatography mass spectrometry (GC/MS) methods have been previously reported for acetyl fentanyl and are examined further here. A Selective Ion Monitoring (SIM) method was created using a GC/MS for quantitation. In two separate cases, acetyl fentanyl was found to be in similar concentrations to those previously reported and ruled to be the cause of death. Acetyl fentanyl concentrations were determined in blood samples, liver, brain, vitreous humor, and urine. Individual 1 had acetyl fentanyl concentrations as follows: heart blood-285 ng/mL, femoral blood-192 ng/mL, liver-1,100 ng/g, brain-620 ng/g, and urine-3,420 ng/mL. Individual 2 had acetyl fentanyl concentrations as follows: heart blood-210 ng/mL, femoral blood-255 ng/mL, urine-2,720 ng/mL and vitreous humor-140 ng/mL. Experimental conditions for screening and quantitation are provided, using immunoassay and GC/MS methods. Due to the recent emergence of acetyl fentanyl, more data will need to be generated to fully differentiate recreational and fatal concentrations of acetyl fentanyl to assist toxicologists accurately understanding its physiological impact.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".