5 in 30 (Cannabinoids in breastmilk, Drugs in fabric, Etylene glycol, Machine learning and more)
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5 in 30 (Cannabinoids in breastmilk, Drugs in fabric, Etylene glycol, Machine learning and more)
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We look at 5 recent publications in the field of toxicology.
1. Helander A, Andersson A, Villén T. Origin and Interpretation of Low Methamphetamine Levels Found in Amphetamine-Positive Urine Samples: Support for Methylation of Amphetamine as a Minor Metabolic Pathway. Drug Test Anal. 2025;17(11):2276-2282. doi:10.1002/dta.3940
2. Labay LM, Midthun KM, Kacinko SL, Papsun DM. Drug identification in biologicals on clothing, bedding, and other materials. J Anal Toxicol. 2025;49(8):603-608. doi:10.1093/jat/bkaf057
3. Ogawa S, Shiraki R, Wakigawa K, et al. Quantitative analysis of ethylene glycol in human serum by liquid chromatography-tandem mass spectrometry with p-toluenesulfonyl isocyanate derivatization. Forensic Toxicol. 2026;44(1):37-46. doi:10.1007/s11419-025-00729-0
4. Ballotari M, Truver MT, Sojin NA, et al. Analysis of cannabinoids and semi-synthetic cannabinoids in authentic breastmilk samples by liquid chromatography-tandem mass spectrometry. J Anal Toxicol. 2025;49(8):559-566. doi:10.1093/jat/bkaf047
5. Grafinger KE, Weinmann W, Pasin D, et al. Machine learning in forensic toxicology: Concepts, applications and challenges in bioanalysis, ADME, and toxicodynamics. Forensic Sci Int. Published online February 9, 2026. doi:10.1016/j.forsciint.2026.112883
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