Correlates of sleep quality and excessive daytime sleepiness in people with opioid use disorder receiving methadone treatment.

PURPOSE: The aim of this study was to evaluate the prevalence and clinical correlates of impaired sleep quality and excessive daytime sleepiness among patients receiving methadone for opioid use disorder (OUD). METHODS: Patients receiving methadone (n = 164) completed surveys assessing sleep quality (Pittsburgh Sleep Quality Index [PSQI]), daytime sleepiness (Epworth Sleepiness Scale [ESS]), and related comorbidities. We used bivariate and multivariable linear regression models to evaluate correlates of sleep quality and daytime sleepiness. RESULTS: Ninety percent of patients had poor sleep quality (PSQI >5), and the mean PSQI was high (11.0 ±4). Forty-six percent reported excessive daytime sleepiness (ESS > 10). In multivariable analyses, higher PSQI (worse sleep quality) was significantly associated with pain interference (coefficient = 0.40; 95% CI = 0.18-0.62; ß = 0.31), somatization (coefficient = 2.2; 95% CI = 0.75-3.6; ß = 0.26), and negatively associated with employment (coefficient = - 2.6; 95% CI = - 4.9 to - 0.19; ß = - 0.17). Greater sleepiness was significantly associated with body mass index (coefficient = 0.32; 95% CI = 0.18-0.46; ß = 0.33), and there was a non-significant association between sleepiness and current chronic pain (coefficient = 1.6; 95% CI = 0.26-3.5; ß = 0.13; p value = 0.09). CONCLUSIONS: Poor sleep quality and excessive daytime sleepiness are common in patients receiving methadone for OUD. Chronic pain, somatization, employment status, and obesity are potentially modifiable risk factors for sleep problems for individuals maintained on methadone. People with OUD receiving methadone should be routinely and promptly evaluated and treated for sleep disorders.

Psychiatric comorbidity and order of condition onset among patients seeking treatment for chronic pain and opioid use disorder.

BACKGROUND: The study objective was to compare psychiatric comorbidity among patients seeking treatment for chronic pain and opioid use disorder (OUD) by order of condition onset (i.e., "Pain First," "OUD First," "Same Time"). METHODS: Data from 170 patients entering two clinical trials of treatments for current comorbid chronic pain and OUD conducted between March 2009 and July 2013 were compared by order of condition onset. The Structured Clinical Interview for DSM-IV-TR Axis I Disorders and the Diagnostic Interview for DSM-IV Personality Disorders (Axis II) were performed by doctoral-level providers using a standardized training protocol. Age of onset group differences on specific diagnostic variables were examined using multinomial logistic regression. RESULTS: Fifty-two percent were in the "Pain First" group (n = 89), 35 % in the "OUD First" group (n = 59), and 13 % in the "Same Time" group (n = 22). Compared with the Pain First group, the Same Time group was less likely to report heroin (vs. prescription opioids) as the primary drug used (OR = 0.20, 95 % CI = 0.06-0.72) or meet criteria for an Axis II disorder (OR = 0.24, 95 % CI = 0.07-0.83). Compared with the Pain First group, the OUD First group was more likely to meet criteria for a current nonopioid substance use disorder (OR = 3.20, 95 % CI = 1.22-8.40). CONCLUSIONS: Our findings regarding differences in psychiatric comorbidity associated with order of condition onset indicate that varying pathways may exist for the emergence of chronic pain and OUD; further research should investigate potential treatment implications.