Chronic pain and opioid abuse: Factors associated with health-related quality of life.

BACKGROUND AND OBJECTIVES: While research on the separate relationships between health-related quality of life (HRQOL) and chronic pain, and HRQOL and opioid abuse has been sparse, even less work has investigated the factors associated with HRQOL in individuals who have both chronic pain and meet criteria for opioid use disorder. The data presented in this analysis should allow a better understanding the factors important to quality of life among this dual-diagnosed population. METHODS: Individuals with dual diagnoses of chronic pain and opioid use disorder were recruited for clinical research studies at Columbia University Medical Center. Participants (n = 47) completed inventories to assess pain (Brief Pain Inventory), opioid (ab)use, and depression (Beck Depression Inventory). Variable from these and other inventories, along with demographic factors (age, race, sex, pain severity, depressive symptoms, duration of opioid use, route of opioid use, amount of opioid use) were entered into a regression analysis in order to identify the strongest predictors of SF-36 Health Survey score. RESULTS: In the bivariate analysis we found that demographic and drug use variables were rarely associated with HRQOL. Typically, ratings of pain severity and pain interference were the best predictors. In the multivariate analysis, we found that across the several HRQOL dimensions greater Brief Pain Inventory (BPI) ratings of pain "interference" and Beck Depression Inventory (BDI) scores were consistently associated with lower HRQOL. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: These data suggest that insufficient pain management and depression are significant variables contributing to lower quality of life among individuals with chronic pain and opioid use disorder. (Am J Addict 2017;26:815-821).

Racial Differences in HIV and HCV Risk Behaviors, Transmission, and Prevention Knowledge among Non-Treatment-Seeking Individuals with Opioid Use Disorder.

In light of New York's recently reinforced strategy to end the AIDS epidemic by expanding testing, treatment, and access to pre-exposure prophylaxis (PrEP), we assessed drug use and sexual risk behaviors, along with HIV/Hepatitis C virus (HCV) transmission and prevention knowledge among non-treatment-seeking adults with opioid use disorder (OUD) in New York City. Over the course of 18 months, volunteers screening for research studies in the Opioid Laboratory at the New York State Psychiatric Institute completed a locally developed self-assessment questionnaire. A total of 138 adults with OUD (24 female, 114 male) with a mean age of 46.5 years (SD = 9.5 yrs) were assessed. Significant differences among the four racial/ethnic subgroups (n = 65 African-Americans, n = 34 Hispanics, n = 31 Caucasians or Whites, n = 8 Multiracial) were found. Whites were the youngest (p = 0.001), most frequently injecting drugs (p < 0.001), and engaged more often in risky drug use and sexual behaviors, although their virus transmission knowledge was comparable to that of the other subgroups. Few participants had heard about PrEP. White opioid users showed the most risk behaviors among races/ethnicities, despite comparable prevention knowledge. Better HIV/HCV prevention interventions targeting individuals with opioid use disorders who are not currently in treatment would be desirable, given their large health burden.

Searching for evidence of genetic mediation of opioid withdrawal by opioid receptor gene polymorphisms.

BACKGROUND: Previous research has identified many genetic polymorphisms that appear to mediate the effects of opioid drugs. However, the relationship between genetic polymorphisms and the severity of opioid withdrawal has not yet been characterized. METHODS: Data were collected from 48 daily heroin users who previously completed a standardized abstinence-induced or naloxone-precipitated withdrawal procedure to assess opioid dependence. The total withdrawal severity score (based on the COWS) from this procedure was correlated with genotype information for variants of OPRM1 (rs1799971; rs6848893), OPRD1 (rs10753331; rs2234918; rs581111; rs678849; rs1042114), and OPRK1 (rs6473797; rs963549). Genotype and other participant variables (age, race, sex, duration of drug use, concomitant drug use, route of opioid use) were used as predictors. RESULTS: Of these variables, those individually correlated with a p < .2 were entered into a multivariate regression in order to identify the most predictive model. Three polymorphisms were significantly associated with severity of abstinence-induced withdrawal (n = 19) in the bivariate analysis (R): OPRM1 rs6848893 (.45), OPRD1 rs10753331 (.03), and rs678849 (.08), but only the OPRM1 rs6848893 was retained in the multivariate model (p < .001). For participants who underwent naloxone-precipitated withdrawal (n = 29) only OPRK1 rs6473797 (-.23) was significant in the bivariate analysis, though not retained in the final model. CONCLUSIONS: These data provide evidence for genetic modulation of opioid withdrawal severity, and suggest there may be qualitative differences between withdrawal resulting from abstinence and antagonist-precipitated withdrawal. SCIENTIFIC SIGNIFICANCE: This study demonstrates the importance and feasibility of incorporating genetic information into clinical addiction research.