Objective. To study the dynamics of different indicators of addiction in a student population over the last decade (2002-2012), to find the factors predicting addiction and to develop recommendations for the correction of rehabilitative programs. Material and methods. Authors examined 578 students of different faculties in 2002 and 568 students in 2012. Patients were stratified by a pattern of addictive behaviour. In addition, it was used psychological method and self-rated stress response as well as the causes of alcoholism and drug addiction. Results. A comparison of the results for 2002 and 2012 demonstrated the increase in percent of drug addiction compared to alcoholism, the increase in the number of women with drug addiction, but not with alcoholism, significant changes in motivation of using alcohol and drugs and comorbidity with anxiety, depression and stress reactivity. Conclusion. The results indicate the necessity of the renovation of rehabilitation programs.
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Forensic Sci Med Pathol
January 2025
Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Via S. Pansini, 5, Naples, 80131, Italy.
The dissection of the aorta is a serious and potentially fatal consequence of cocaine use. Nonetheless, the underlying mechanisms and characteristics of this phenomenon remain to be deeply studied. The autopsy case of a 46-year-old white male found irresponsive and unconscious in his house and had a history of abusing cocaine is presented.
View Article and Find Full Text PDFCurr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Rev Med Suisse
January 2025
Unité des dépendances, Service de médecine de premier recours, Hôpitaux universitaires de Genève, 1211 Genève 14.
The use of psychoactive substances affects more men than women, with a prevalence that is 1.3 to 2 times higher, except for the use of sedatives. Men are also more affected by accidents, injuries, and acts of violence.
View Article and Find Full Text PDFDiscov Public Health
January 2025
British Columbia Centre on Substance Use, 1045 Howe Street, Vancouver, BC V6Z 1Y6 Canada.
Following the onset of the COVID-19 pandemic, an ever-increasing number of people have died from the toxic drug supply in Canada. Emerging evidence suggests that reduced access to harm reduction services has been a contributing factor. However, the precise impacts of the pandemic on supervised consumption service (SCS) delivery have not been well characterized.
View Article and Find Full Text PDFDrug Alcohol Depend Rep
March 2025
Center to Improve Veteran Involvement in Care, VA Portland Health Care System, 3710 SW US Veterans Hospital Rd, Portland, OR 97239, United States.
Aim: We examined differences in medications for opioid use disorder (MOUD) receipt between rural and urban veteran patients following initiatives within the US Department of Veterans Affairs (VA) to expand access to MOUD.
Methods: Data for this retrospective cohort study were obtained from the VA Corporate Data Warehouse, which contains national electronic health record data for all VA patients. The analytic sample included all patients diagnosed with OUD from 10/1/2018-9/30/20.
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