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Updated: Jan 31, 2026
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Withdrawal symptoms predict prescription opioid dependence in chronic pain patients
Ainhoa Coloma-Carmona1, José L Carballo1, Jesús Rodríguez-Marín1
1Center for Applied Psychology, Miguel Hernández University, Avenida Universidad, s/n, 03202, Elche, Spain.
Background:
The last version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes substantial changes for prescription opioid-use disorder (POUD). After its removal as a criterion, the goal of this study was to estimate the prevalence of withdrawal symptoms in long-term users of prescription opioids and its association with the new DSM-5 POUD classification.
Methods:
Data were collected from 215 long-term consumers of opioid medication who were chronic non-cancer pain patients. Participants completed sociodemographic, Adjective Rating Scale for Withdrawal (ARSW), opioid treatment characteristics, POUD criteria (DSM-5), and pain intensity measurements.
Results:
26.6% of the participants were classified with moderate to severe POUD. Higher intensity of withdrawal symptoms was found in patients with moderate/severe POUD, younger age, and higher pain intensity (p < .01). Anxiolytics (p < .01) and antidepressants use (p < .05) and percentage of smokers (p < .05) were significantly higher in patients with severe withdrawal. Logistic regression analyses suggested moderate [odds ratio (OR) = 3.25] and severe (OR = 10.52) withdrawal as the strongest predictor of POUD. Age, anxiolytics use, and smoking were also associated with POUD, but multilevel analysis showed that these variables do not moderate the association between withdrawal intensity and POUD.
Conclusion:
Escalation of withdrawal intensity during opioid treatment can be used to identify patients with POUD. Further studies are needed to assess the clinical implications of these findings during long-term opioid therapy for chronic pain.
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