ReviewJournal of clinical medicine2026
Exploring Non-Pharmacological Interventions as Part of Multimodal Management to Prevent Opioid Misuse in Adults Prescribed Opioids for Chronic Pain.
Review in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, there has been an unprecedented upsurge in opioid prescriptions for pain management. Consequently, the widespread availability of these medicines has led to an increase in misuse and abuse. This has led to a greater number of overdose-related deaths. The high prevalence of drug misuse was born of multiple and complex societal factors. However, from a medical perspective, critical contributors to the dire consequences of the crisis have been the need for chronic pain relief, as well as mental health issues within communities. Chronic pain coupled with psychological distress exacerbates patients' predicaments and thus further fuels the crisis. Anxiety and depression have bidirectional and complex relationships with pain. The somatic symptoms associated with anxiety potentially worsen pain, whilst pain emanating from a chronic condition worsens anxiety. The same relational dynamic applies to depression and pain. Thus, these psychopathological states may be major contributors to the opioid abuse epidemic. Thus, psychosocial management as a first-line treatment instead of starting with drug treatments seems an enlightened approach to this problem. Cognitive behavioral therapy (CBT) has been proven to be effective in managing specific symptoms associated with chronic pain. Similarly, patient education has been shown to be a viable alternative to drugs for certain aspects of chronic pain treatment. We consider that the opioid crisis could be addressed with a greater reliance and emphasis on non-pharmacological approaches to managing chronic pain patients. This mini-review examines non-pharmaceutical and monitoring-based interventions to reduce opioid misuse risk among adults prescribed opioids for chronic non-cancer pain. Studies were identified through PubMed/MEDLINE, Scopus, and Google Scholar using terms related to chronic pain, prescription opioid misuse, opioid use disorder, cognitive behavioral therapy, patient education, prescription drug monitoring programs, digital health, telehealth, and non-pharmacological interventions. Studies were included if they focused on adults with chronic pain who were prescribed opioids or at risk of misuse, and evaluated interventions aimed at reducing unsafe opioid use, misuse risk, or opioid-related harm. Evidence was synthesized narratively to identify key intervention approaches, limitations, and clinical implications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.