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The rapid proliferation of new psychoactive substances (NPS) poses significant challenges to conventional mass-spectrometry-based identification methods due to the absence of reference spectra for these emerging substances. This paper introduces PSMS, an AI-powered predictive system designed specifically to address the limitations of identifying the emergence of unidentified novel illicit drugs. PSMS builds a synthetic NPS database by enumerating feasible derivatives of known substances and uses deep learning to generate mass spectra and chemical fingerprints. When the mass spectrum of an analyte does not match any known reference, PSMS simultaneously examines the chemical fingerprint and mass spectrum against the putative NPS database using integrated metrics to deduce possible identities. Experimental results affirm the effectiveness of PSMS in identifying cathinone derivatives within real evidence specimens, signifying its potential for practical use in identifying emerging drugs of abuse for researchers and forensic experts.
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http://dx.doi.org/10.1021/acs.analchem.3c05019 | DOI Listing |
J Mass Spectrom
October 2025
Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
The laboratory analysis of new psychoactive substances and related drugs is crucial for accurate clinical and forensic diagnosis of poisonings. Given this, a new LC-MS/MS method for analyzing hallucinogens, synthetic cathinones, and synthetic cannabinoids in urine was developed. Urine samples were extracted using a liquid-liquid extraction protocol optimized via a multivariate experimental design.
View Article and Find Full Text PDFForensic Sci Int
September 2025
Department of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, Ribeirão Preto, São Paulo 14040-091, Brazil; Instituto Nacional de Ciência e Tecnologia - Ciências Forenses (INCT Forense), Department of Chemistry, Faculty of Philosophy, Sciences and Letters of Ribeirão P
New psychoactive substances (NPS) present significant challenges for law enforcement and public health due to their rapid emergence and structural diversity, often outpacing the development of traditional analytical methods. This review explores using computational chemistry, particularly density functional theory (DFT), to obtain infrared spectra. This combination to characterize NPS began in the 2010s and has gained momentum across all continents in recent years.
View Article and Find Full Text PDFPol Merkur Lekarski
September 2025
YAROSLAV MUDRYI NATIONAL LAW UNIVERSITY, KHARKIV, UKRAINE.
Objective: Aim: To identify violations of the rights of persons who use psychoactive substances through the analysis of decisions of the European Court of Human Rights within the framework of the implementation of the right to a fair trial in cases related to illicit drug trafficking, and to propose directions for reducing their negative impact on public health..
Patients And Methods: Materials and Methods: The methodological basis of the article is a set of methods and techniques of scientific knowledge.
Background: New psychoactive substances (NPS) represent a global problem, especially among young people. In Central Asia, while the trafficking in NPS continues to grow, there remains a lack of data on the social, health and psychological consequences of their use.
Aim: To investigate the motives behind the NPS use among young people in the Republic of Uzbekistan, as well as the medical and social characteristics of this group.