PMID- 30562677 OWN - NLM STAT- MEDLINE DCOM- 20190625 LR - 20190625 IS - 1879-0046 (Electronic) IS - 0376-8716 (Linking) VI - 195 DP - 2019 Feb 1 TI - Withdrawal symptoms predict prescription opioid dependence in chronic pain patients. PG - 27-32 LID - S0376-8716(18)30821-4 [pii] LID - 10.1016/j.drugalcdep.2018.11.013 [doi] AB - 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. CI - Copyright (c) 2018 Elsevier B.V. All rights reserved. FAU - Coloma-Carmona, Ainhoa AU - Coloma-Carmona A AD - Center for Applied Psychology, Miguel Hernandez University, Avenida Universidad, s/n, 03202, Elche, Spain. Electronic address: ainhoa.coloma@umh.es. FAU - Carballo, Jose L AU - Carballo JL AD - Center for Applied Psychology, Miguel Hernandez University, Avenida Universidad, s/n, 03202, Elche, Spain. Electronic address: jcarballo@umh.es. FAU - Rodriguez-Marin, Jesus AU - Rodriguez-Marin J AD - Center for Applied Psychology, Miguel Hernandez University, Avenida Universidad, s/n, 03202, Elche, Spain. Electronic address: rod.marin@umh.es. FAU - Perez-Carbonell, Ana AU - Perez-Carbonell A AD - University General Hospital of Elche, Camino de la Almazara, 11, 03203, Elche, Spain. Electronic address: perez_anacar@gva.es. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20181203 PL - Ireland TA - Drug Alcohol Depend JT - Drug and alcohol dependence JID - 7513587 RN - 0 (Analgesics, Opioid) SB - IM MH - Adult MH - Aged MH - Aged, 80 and over MH - Analgesics, Opioid/*adverse effects/therapeutic use MH - Chronic Pain/diagnosis/*drug therapy/*epidemiology MH - Drug Prescriptions MH - Female MH - Humans MH - Male MH - Middle Aged MH - Opioid-Related Disorders/diagnosis/*epidemiology MH - Pain Measurement/drug effects/*methods MH - Predictive Value of Tests MH - Substance Withdrawal Syndrome/diagnosis/*epidemiology MH - Substance-Related Disorders/diagnosis/epidemiology OTO - NOTNLM OT - Chronic pain OT - DSM-5 OT - Opioid withdrawal OT - Prescription opioids EDAT- 2018/12/19 06:00 MHDA- 2019/06/27 06:00 CRDT- 2018/12/19 06:00 PHST- 2018/10/24 00:00 [received] PHST- 2018/11/12 00:00 [accepted] PHST- 2018/12/19 06:00 [pubmed] PHST- 2019/06/27 06:00 [medline] PHST- 2018/12/19 06:00 [entrez] AID - S0376-8716(18)30821-4 [pii] AID - 10.1016/j.drugalcdep.2018.11.013 [doi] PST - ppublish SO - Drug Alcohol Depend. 2019 Feb 1;195:27-32. doi: 10.1016/j.drugalcdep.2018.11.013. Epub 2018 Dec 3.