Background: Long-term prescriptions of strong opioids for chronic noncancer pain-which are not supported by scientific evidence-suggest miscalibrated risk perceptions among those who prescribe, dispense, and take opioids. Because risk perceptions and behaviors can differ depending on whether people learn about risks through description or experience, we investigated the effects of descriptive versus simulated-experience educative formats on physicians' risk perceptions of strong opioids and their prescription behavior for managing chronic noncancer pain.
Methods: Three hundred general practitioners and 300 pain specialists in Germany-enrolled separately in two independent exploratory randomized controlled online trials-were randomly assigned to either a descriptive format (fact box) or a simulated-experience format (interactive simulation).
Primary Endpoints: Objective risk perception (numerical estimates of opioids' benefits and harms), actual prescriptions of seven therapy options for managing chronic pain.
Secondary Endpoint: Implementation of intended prescriptions of seven therapy options for managing chronic pain.
Results: Both formats improved the proportion of correct numerical estimates of strong opioids' benefits and harms immediately after intervention, with no notable differences between formats. Compared to description, simulated experience led to significantly lower reported actual prescription rates for strong and/or weak opioids, and was more effective at increasing prescription rates for non-drug-based therapies (e.g., means of opioid reduction) from baseline to follow-up for both general practitioners and pain specialists. Simulated experience also resulted in a higher implementation of intended behavior for some drug-based and non-drug-based therapies.
Conclusions: The two formats, which recruit different cognitive processes, may serve different risk-communication goals: If the goal is to improve exact risk perception, descriptive and simulated-experience formats are likely to be equally suitable. If, however, the goal is to boost less risky prescription habits, simulated experience may be the better choice.
Trial Registration: DRKS00020358 (German Clinical Trials Register, first registration: 07/01/2020).
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http://dx.doi.org/10.1186/s12909-022-03797-7 | DOI Listing |
F1000Res
January 2025
Lisa-Kolk-Stiftung, Berg. Neukirchen, North Rhine Westphalia, 51381, Germany.
Behaviorally conditioned immune functions are suggested to be regulated by bidirectional interactions between CNS and peripheral immune system the hypothalamic-pituitary-adrenal (HPA) axis, sympathetic nervous system (SNS), and the parasympathetic nervous system (PNS). Since the current knowledge about biochemical pathways triggering conditioned immune enhancement is limited, the aim of this pilot study was gaining more insights into that. Rats were conditioned with camphor smell and poly I:C injection, mimicking a viral infection.
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Center for Opioid Epidemiology and Policy, Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, New York, New York.
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J Coll Physicians Surg Pak
January 2025
Department of Orthopaedics and Traumatology, Faculty of Medicine, Sakarya University, Sakarya, Turkiye.
Objective: To compare the postoperative analgesic effectiveness of ultrasound-guided lumbar erector spinae plane (LESP) block with lumbar plexus block (LPB) in patients operated for proximal femur fractures.
Study Design: A randomised controlled trial. Place and Duration of the Study: Sakarya Training and Research Hospital Operation Theatre, Sakarya, Turkiye, between January and June 2023.
Addiction
January 2025
Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Background And Aims: The opioid crisis continues to exert a tremendous toll in North America, with existing interventions often falling short of addressing ongoing needs. Psychedelics are emerging as a possible alternative therapy for mental health and substance use disorders. This study aimed to gather insights on how people use or are considering using psychedelics to manage opioid use disorder (OUD), how these experiences are perceived to impact opioid use and what these lessons imply for future research and practice.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester, United Kingdom.
Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. This review evaluated the types and quality of ML methods in opioid safety research, identifying 44 studies using supervised ML through searches of Ovid MEDLINE, PubMed and SCOPUS databases. Commonly predicted outcomes included postoperative opioid use (n = 15, 34%) opioid overdose (n = 8, 18%), opioid use disorder (n = 8, 18%) and persistent opioid use (n = 5, 11%) with varying definitions.
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