Opioid misuse in the context of pain management exacts a significant public health burden. Past work has established linkages between negative mood (i.e., symptoms of anxiety and depression) and opioid misuse/dependence, yet the mechanisms underlying these associations have received little scientific investigation. Anxiety sensitivity (AS), the fear of the negative consequences of internal states, may be relevant to better understanding negative mood-opioid relations among adults with chronic pain. Simultaneous indirect effects of negative mood on opioid misuse and opioid dependence via lower-order factors of AS (physical, cognitive, and social concerns) were examined cross-sectionally in the present study. The study sample consisted of 428 adults (74.1% female, = 38.27 years, = 11.06) who self-reported current moderate to severe chronic pain and opioid use for chronic pain. Results indicated that negative mood was (in part) indirectly related to opioid misuse (in part) via AS physical and cognitive concerns and was (in part) indirectly related to opioid dependence via AS cognitive concerns only. No significant indirect effects via social concerns were observed: Findings suggest the importance of further exploring the role of anxiety sensitivity cognitive and physical concerns in terms of opioid misuse and dependence among adults with chronic pain.
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http://dx.doi.org/10.1080/10826084.2023.2177969 | DOI Listing |
Background: Wider availability of cannabis through medical and recreational legalization (MCL alone and RCL+MCL) has been hypothesized to contribute to reductions in opioid use, misuse, and related harms. We examined whether state adoption of cannabis laws was associated with changes in opioid outcomes overall and stratified by cannabis use.
Methods: Using National Survey on Drug Use and Health (NSDUH) data from 2015 to 2019, we estimated cannabis law associations with opioid (prescription opioid misuse and/or heroin use) misuse and use disorder.
J Behav Med
January 2025
Prescription Drug Misuse Education and Research (PREMIER) Center, University of Houston, Houston, USA.
The landscape of nicotine use in the United States (US) has continued to evolve, with electronic cigarette use (hereafter e-cigarette) becoming more evident in recent years. Patterns of dual nicotine use, or using combustible nicotine in conjunction with e-cigarettes, may increase dependence on nicotine, continued exposure to toxins, and corresponding health risks. One of the most prevalent health problems related to nicotine use is the experience of chronic pain.
View Article and Find Full Text PDFBMJ Paediatr Open
January 2025
School of Health Sciences, University of Dundee, Dundee, UK
Background: Early child development sets the course for optimal outcomes across life. Increasing numbers of children worldwide are exposed to opioids in pregnancy and frequently live in environments associated with adverse developmental outcomes. Although multiple systematic reviews have been published in this area, they use different exposures and different types of outcomes.
View Article and Find Full Text PDFPsychol Addict Behav
January 2025
Department of Psychiatry and Behavioral Sciences, University of Washington.
Objective: Both opioid misuse and overdose mortality have disproportionately impacted the American Indian population. Although medications for opioid use disorder, such as buprenorphine (BUP-NX), are highly effective in reducing overdose mortality, questions have been raised about the cultural acceptability of Western medical approaches in this population. Understanding patients' desired recovery pathways can lead to more culturally appropriate, patient-centered, and effective approaches to opioid use disorder (OUD) treatment.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Mental Illness Research, Education and Clinical Center, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.
Importance: Recently, the US Food and Drug Administration gave premarketing approval to an algorithm based on its purported ability to identify individuals at genetic risk for opioid use disorder (OUD). However, the clinical utility of the candidate genetic variants included in the algorithm has not been independently demonstrated.
Objective: To assess the utility of 15 genetic variants from an algorithm intended to predict OUD risk.
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