TY - JOUR PY - 2023// TI - Retrospective analysis of forensic toxicology data from 2021 to identify patterns of various forensic cases JO - Forensic science international A1 - Wang, Xinying A1 - Xiang, Ping A1 - Zhang, Sujing A1 - Wang, Jinming A1 - Zhang, Jianhua A1 - Wu, Hejian A1 - Wang, Xin SP - e111683 EP - e111683 VL - 347 IS - N2 - PURPOSE: Knowing and analyzing the characteristics and trends of forensic toxicology cases in a certain area is particularly important for a local government to establish an effective prevention and control system. The purpose of this work was to summarize data from forensic toxicology cases received by the Academy of Forensic Sciences (AFS) in 2021.

METHODS: As requested by the police or according to the details of cases, samples were systematically screened or analyzed by various methods. Liquid chromatography-tandem mass spectrometry and gas chromatography-mass spectrometry were used to identify medicinal drugs, drugs of abuse, pesticides, poison gases, etc.

RESULTS: AFS received a total of 17,758 cases in 2021, of which 314 cases underwent autopsy. The main cause of death was sudden death, and the manner of death was mainly accident. Among 13,744 drug abuse cases, the number of positive cases was 1721, with a positive rate of 12.5%, and synthetic cannabinoids were the most frequently detected substances. In 3640 traffic cases, 85.3% of drivers were suspected of drunk driving. In 103 poisoning cases, hydrogen sulfide poisoning and pesticide suicide account for a large proportion. In drug-facilitated crimes, zolpidem was the most frequently tested component. In 55 case of dog poisonings, the main poisons were cyanides and succinylcholine, and the main poisoning tools were poisonous baits and poisonous syringe darts.

CONCLUSIONS: This study profiles the toxicological characteristics of forensic toxicological cases conducted at the AFS in 2021 and provides a scientific basis for poisoning cases and drug abuse prevention.

Language: en

LA - en SN - 0379-0738 UR - http://dx.doi.org/10.1016/j.forsciint.2023.111683 ID - ref1 ER -