Novel psychoactive substances include synthetic cannabinoids, cathinone derivatives, psychedelic phenethylamines, novel stimulants, synthetic opioids, tryptamine derivatives, phencyclidine-like dissociatives, piperazines, GABA-A/B receptor agonists, a range of prescribed medications, psychoactive plants/herbs, and a large series of performance and image enhancing drugs. Users are typically attracted by these substances due to their intense psychoactive effects and likely lack of detection in routine drug screenings. This paper aims at providing psychiatrists with updated knowledge of the clinical pharmacology and psychopathological consequences of the use of these substances. Indeed, these drugs act on a range of neurotransmitter pathways/receptors whose imbalance has been associated with psychopathological conditions, including dopamine, cannabinoid CB1, GABA-A/B, 5-HT2A, glutamate, and k opioid receptors. An overall approach in terms of clinical management is briefly discussed.
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http://dx.doi.org/10.1002/wps.20174 | DOI Listing |
J Anal Toxicol
December 2024
Department of Pathology, Immunology, and Laboratory Medicine, University of Florida College of Medicine, Gainesville, FL.
Novel psychoactive substances (NPS) have historically been difficult compounds to analyze in forensic toxicology. The identification, detection and quantitation of these analytes and their metabolites has been difficult due to their rapid emergence, short life span and various potencies. Advancements in analytical instrumentation are fundamental to mitigating these NPS challenges by providing reliable identification and sensitivity.
View Article and Find Full Text PDFJ Psychoactive Drugs
January 2025
Department of Mental Health, Psychiatric Service for Diagnosis and Treatment, San Luigi Gonzaga Hospital, University of Turin, Turin, Orbassano, Italy.
This study explores the psychotic-like experiences (PLEs) associated with recreational ketamine use among young adults. Ketamine, initially introduced as an anesthetic, is now widely used recreationally for its dissociative effects, raising concerns about its impact on mental health. Ten participants aged 18-24, who used ketamine recreationally multiple times a week, were assessed using the Community Assessment of Psychic Experiences (CAPE-42).
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Background: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.
Objective: This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.
Rapid Commun Mass Spectrom
April 2025
Camel Forensic Laboratory, Central Veterinary Research Laboratory, Dubai, UAE.
Rationale: The use of benzimidazole-class novel psychoactive substances has significantly increased worldwide raising concerns about potential misuse and doping in animal sports such as camel racing. Understanding the metabolism of these substances is critical for developing reliable detection methods to ensure fair competition and animal welfare.
Methods: In vitro studies were conducted using homogenized camel liver samples to replicate metabolic processes.
Brief Bioinform
November 2024
School of Science, China Pharmaceutical University, Nanjing 211198, China.
The supervision of novel psychoactive substances (NPSs) is a global problem, and the regulation of NPSs was heavily relied on identifying structural matches in established NPSs databases. However, violators could circumvent legal oversight by altering the side chain structure of recognized NPSs and the existing methods cannot overcome the inaccuracy and lag of supervision. In this study, we propose a scaffold and transformer-based NPS generation and Screening (STNGS) framework to systematically identify and evaluate potential NPSs.
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