Training and distributing naloxone to drug users is a promising method for reducing deaths associated with heroin overdose. Emergency Medical Service (EMS) providers have experience responding to overdose, administering naloxone, and performing clinical management of the patient. Little is known about the attitudes of EMS providers toward training drug users to use naloxone. We conducted an anonymous survey of 327 EMS providers to assess their attitudes toward a pilot naloxone program. Of 176 who completed the survey, the majority were male (79%) and Caucasian (75%). The average number of years working as an EMS provider was 7 (SD=6). Overall attitudes toward training drug users to administer naloxone were negative with 56% responding that this training would not be effective in reducing overdose deaths. Differences in attitudes did not vary by gender, level of training, or age. Providers with greater number of years working in EMS were more likely to view naloxone trainings as effective in reducing overdose death. Provider concerns included drug users' inability to properly administer the drug, program condoning and promoting drug use, and unsafe disposal of used needles. Incorporating information about substance abuse and harm reduction approaches in continuing education classes may improve the attitudes of provider toward naloxone training programs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3456561 | PMC |
http://dx.doi.org/10.1093/jurban/jti052 | DOI Listing |
Sci Rep
January 2025
Washington DC VA Medical Center, Washington, DC, USA.
The opioid crisis has disproportionately affected U.S. veterans, leading the Veterans Health Administration to implement opioid prescribing guidelines.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
View Article and Find Full Text PDFClin Pharmacol Ther
January 2025
Division of Applied Regulatory Science, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, Maryland, USA.
In response to increased illicit use of synthetic opioids, various μ-receptor antagonist formulations, with varied pharmacological characteristics, have been and are being developed. To understand how pharmacologic characteristics such as absorption rate and clearance rate affect reversal in treating community opioid overdose, we used our previously published translational opioid model. We adapted this model with in vitro receptor binding data and clinical pharmacokinetic data of three intranasal nalmefene formulations along with an intranasal naloxone formulation to study the reversal of fentanyl and carfentanil-induced respiratory depression in chronic opioid users.
View Article and Find Full Text PDFTrends Pharmacol Sci
January 2025
Department of Translational Neuroscience, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1083, USA. Electronic address:
Cocaine-use disorders (CUDs) continue to be a major public health problem that requires effective treatments. Despite decades of preclinical research, there are no FDA-approved pharmacotherapies for cocaine use. While there are numerous potential reasons why no efficacious treatments have been identified or approved for cocaine use, we discuss two possible reasons in this review: the low number of studies incorporating social variables and the overlooking of the clinical reality of polysubstance use.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Laboratory of NeuroImaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, Maryland.
Importance: Cannabis use has increased globally, but its effects on brain function are not fully known, highlighting the need to better determine recent and long-term brain activation outcomes of cannabis use.
Objective: To examine the association of lifetime history of heavy cannabis use and recent cannabis use with brain activation across a range of brain functions in a large sample of young adults in the US.
Design, Setting, And Participants: This cross-sectional study used data (2017 release) from the Human Connectome Project (collected between August 2012 and 2015).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!