OBJECTIVE: To estimate the prevalence of and risk factors for opioid abuse/dependence in long-term users of opioids for chronic pain, including risk factors for opioid abuse/dependence that can potentially be modified to decrease the likelihood of opioid abuse/dependence, and non-modifiable risk factors for opioid abuse/dependence that may be useful for risk stratification when considering prescribing opioids. METHODS: We used claims data from two disparate populations, one national, commercially insured population (HealthCore) and one state-based, publicly insured (Arkansas Medicaid). Among users of chronic opioid therapy, we regressed claims-based diagnoses of opioid abuse/dependence on patient characteristics, including physical health, mental health and substance abuse diagnoses, sociodemographic factors, and pharmacological risk factors. RESULTS: Among users of chronic opioid therapy, 3% of both the HealthCore and Arkansas Medicaid samples had a claims-based opioid abuse/dependence diagnosis. There was a strong inverse relationship between age and a diagnosis of opioid abuse/dependence. Mental health and substance use disorders were associated with an increased risk of opioid abuse/dependence. Effects of substance use disorders were especially strong, although mental health disorders were more common. Concerning opioid exposure; lower days supply, lower average doses, and use of Schedule III-IV opioids only, were all associated with lower likelihood of a diagnosis of opioid abuse/dependence. CONCLUSION: Opioid abuse and dependence are diagnosed in a small minority of patients receiving chronic opioid therapy, but this may under-estimate actual misuse. Characteristics of the patients and of the opioid therapy itself are associated with the risk of abuse and dependence.
OBJECTIVE: To estimate the prevalence of and risk factors for opioid abuse/dependence in long-term users of opioids for chronic pain, including risk factors for opioid abuse/dependence that can potentially be modified to decrease the likelihood of opioid abuse/dependence, and non-modifiable risk factors for opioid abuse/dependence that may be useful for risk stratification when considering prescribing opioids. METHODS: We used claims data from two disparate populations, one national, commercially insured population (HealthCore) and one state-based, publicly insured (Arkansas Medicaid). Among users of chronic opioid therapy, we regressed claims-based diagnoses of opioid abuse/dependence on patient characteristics, including physical health, mental health and substance abuse diagnoses, sociodemographic factors, and pharmacological risk factors. RESULTS: Among users of chronic opioid therapy, 3% of both the HealthCore and Arkansas Medicaid samples had a claims-based opioid abuse/dependence diagnosis. There was a strong inverse relationship between age and a diagnosis of opioid abuse/dependence. Mental health and substance use disorders were associated with an increased risk of opioid abuse/dependence. Effects of substance use disorders were especially strong, although mental health disorders were more common. Concerning opioid exposure; lower days supply, lower average doses, and use of Schedule III-IV opioids only, were all associated with lower likelihood of a diagnosis of opioid abuse/dependence. CONCLUSION:Opioid abuse and dependence are diagnosed in a small minority of patients receiving chronic opioid therapy, but this may under-estimate actual misuse. Characteristics of the patients and of the opioid therapy itself are associated with the risk of abuse and dependence.
Authors: Eija Kalso; Laurie Allan; Paul L I Dellemijn; Clara C Faura; Wilfried K Ilias; Troels S Jensen; Serge Perrot; Leon H Plaghki; Michael Zenz Journal: Eur J Pain Date: 2003 Impact factor: 3.931
Authors: Mark J Edlund; Bradley C Martin; Ming-Yu Fan; Jennifer Brennan Braden; Andrea Devries; Mark D Sullivan Journal: J Pain Symptom Manage Date: 2010-06-25 Impact factor: 3.612
Authors: Beatrix M Schieffer; Quyhn Pham; Jennifer Labus; Ariel Baria; Walter Van Vort; Philip Davis; Frederick Davis; Bruce D Naliboff Journal: J Pain Date: 2005-09 Impact factor: 5.820
Authors: Edward Michna; Edgar L Ross; Wilfred L Hynes; Srdjan S Nedeljkovic; Sharonah Soumekh; David Janfaza; Diane Palombi; Robert N Jamison Journal: J Pain Symptom Manage Date: 2004-09 Impact factor: 3.612
Authors: Hilary L Surratt; Steven P Kurtz; Mance Buttram; Maria A Levi-Minzi; Maria E Pagano; Theodore J Cicero Journal: Drug Alcohol Depend Date: 2017-07-26 Impact factor: 4.492
Authors: Kathleen W Saunders; Michael Von Korff; Cynthia I Campbell; Caleb J Banta-Green; Mark D Sullivan; Joseph O Merrill; Constance Weisner Journal: J Pain Date: 2012-01-29 Impact factor: 5.820
Authors: Bradley C Martin; Ming-Yu Fan; Mark J Edlund; Andrea Devries; Jennifer Brennan Braden; Mark D Sullivan Journal: J Gen Intern Med Date: 2011-07-13 Impact factor: 5.128
Authors: Mark J Edlund; Bradley C Martin; Joan E Russo; Andrea DeVries; Jennifer B Braden; Mark D Sullivan Journal: Clin J Pain Date: 2014-07 Impact factor: 3.442
Authors: Daniel T Hackman; Marion S Greene; Taya J Fernandes; Ashley M Brown; Eric R Wright; R Andrew Chambers Journal: J Clin Psychiatry Date: 2014-07 Impact factor: 4.384
Authors: Nalini Vadivelu; Alice M Kai; Gopal Kodumudi; Dan Haddad; Vijay Kodumudi; Niketh Kuruvilla; Alan David Kaye; Richard D Urman Journal: Curr Pain Headache Rep Date: 2018-03-19