Results 31 to 40 of about 3,518,187 (207)
Sultan Qaboos University Medical Journal, 2017 Tranylcypromine is an effective antidepressant from the class of monoamine oxidase inhibitors and is structurally related to amphetamine. However, reports differ regarding the potential metabolism of tranylcypromine to amphetamine and methamphetamine ...
Maryam Akhgari +3 more
doaj +1 more source
Pharmaceuticals, 2022 Background: Synthetic cathinones currently represent one of the most predominant (sub)-classes of new psychoactive substance (NPS) in illicit drug markets.
Abdulaziz A. Aldubayyan +3 more
doaj +1 more source
Substance Abuse and Rehabilitation, 2012 Betty Tai1, Li-Tzy Wu2, H Westley Clark31Center for Clinical Trials Network, National Institute on Drug Abuse, Bethesda, MD, 2Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, Durham, NC, 3Center for ...
Clark HW, Wu LT, Tai B
doaj
Sphincter of oddi dysfunction induced by ketamine: A case report
Clinical Case ReportsKey Clinical Message Chronic ketamine use can lead to sphincter of oddi dysfunction (SOD), causing various hepatobiliary complications. Recognizing substance abuse history is vital for early detection.
Nava Raj Sharma +6 more
doaj +1 more source
FORENSIC PSYCHIATRIC ASSESSMENT OF THE CRIMINAL AND CIVIL RESPONSIBILITY OF MENTALLY DISORDERED PERSONS [PDF]
The Egyptian Journal of Forensic Sciences and Applied Toxicology, 2018 Background:The psychiatric assessment of individuals involved in legal proceedings had significantly been advanced during the past decades. Aim of study: To estimate the prevalence of criminal and civil problems among mentally disordered persons ...
Ahmed Hamoda +4 more
doaj +1 more source
AI impact to Detect Fraud & Substance Abuse
International Journal of Intelligent Systems and Applications in Engineering, 2023 Conventional techniques of inquiry and diagnosis have been transformed by the use of AI in fraud detection and drug usage monitoring. Artificial intelligence-powered systems utilise machine learning, natural language processing, and predictive analytics to identify patterns, anomalies, and hidden hints that could indicate drug addiction or fraud.
openaire +1 more source
Validity of Substances of Abuse Detection in Hair by Biochips Array Technology
Journal of Alcoholism & Drug Dependence, 2018 Using hair as a biological specimen to analyze drug abuse has been receiving elevated attention during last years because of flexibility of collection procedure and because hair does not autolysis like other body fluids or tissues. Hair testing provides a broad-spectrum detection window after drug exposure than urine testing. Hair analysis has specific
Ahmed R Ragab +8 more
openaire +1 more source
Detecting Substance Abuse in the Emergency Department: A 10-Year Comparative Study [PDF]
ISRN Emergency Medicine, 2013 Aims. We have retrospectively analyzed the variations in the clinical profile of patients with a positive consumption of alcohol and/or drugs of abuse that have been confirmed and treated in the Emergency Department of a Virgen de La Arrixaca University Hospital in Murcia (Spain) after a period of 10 years.
Fernando Espi Martinez +3 more
openaire +1 more source
Substance Abuse Amongst Refugee Youth: A Scoping Review [PDF]
, 2023 Purpose of Review: Identify and map health, economic, and social consequences of substance abuse, especially because the impacts of substance abuse can adversely and disproportionally affect refugee youth.
Eacersall, Douglas +9 more
core +1 more source
Healthcare Analytics, 2023 It is difficult to identify fraud, waste, and abuse (FWA) in substance use disorder (SUD) treatment. Insurers use outlier detection models to detect SUD-related FWA but these models require credible benchmarks based on cross-payer claims data.
Sivagaminathan Palani +5 more
doaj +1 more source