Abstract

Background: The impact of increasing non-medical cannabis use on vulnerability to develop opioid use disorders has received considerable attention, with contrasting findings. A dimensional analysis of self-exposure to cannabis and other drugs, in individuals with and without opioid dependence (OD) diagnoses, may clarify this issue.Objective: To examine the age of onset of maximal self-exposure to cannabis, alcohol, cocaine, and heroin, in volunteers diagnosed with OD, using a rapidly administered instrument (the KMSK scales). To then determine whether maximal self-exposure to cannabis, alcohol, and cocaine is a dimensional predictor of odds of OD diagnoses.Methods: This outpatient observational study examined maximal self-exposure to these drugs, in volunteers diagnosed with DSM-IV OD or other drug diagnoses, and normal volunteers. In order to focus more directly on opioid dependence diagnosis as the outcome, volunteers who had cocaine dependence diagnoses were excluded. Male and female adults of diverse ethnicity were consecutively ascertained from the community, and from local drug treatment programs, in 2002–2013 (n = 574, of whom n = 94 had OD diagnoses). The age of onset of maximal self-exposure of these drugs was examined. After propensity score matching for age at ascertainment, gender, and ethnicity, a multiple logistic regression examined how increasing self-exposure to non-medical cannabis, alcohol and cocaine affected odds of OD diagnoses.Results: Volunteers with OD diagnoses had the onset of heaviest use of cannabis in the approximate transition between adolescence and adulthood (mean age = 18.9 years), and onset of heaviest use of alcohol soon thereafter (mean age = 20.1 years). Onset of heaviest use of heroin and cocaine was detected later in the lifespan (mean ages = 24.7 and 25.3 years, respectively). After propensity score matching for demographic variables, we found that the maximal self-exposure to cannabis and cocaine, but not to alcohol, was greater in volunteers with OD diagnoses, than in those without this diagnosis. Also, a multiple logistic regression detected that increasing self-exposure to cannabis and cocaine, but not alcohol, was a positive predictor of OD diagnosis.Conclusions/Importance: Increasing self-exposure to non-medical cannabis, as measured with a rapid dimensional instrument, was a predictor of greater odds of opioid dependence diagnosis, in propensity score-matched samples.

Highlights

  • IntroductionAddictions to heroin or illicitly used prescription opioids (shortacting mu-opioid receptors (MOP-r) agonists) cause major morbidity and mortality [1, 2], and there is considerable poly-drug use in persons with these diseases [3,4,5,6]

  • Addictions to heroin or illicitly used prescription opioids cause major morbidity and mortality [1, 2], and there is considerable poly-drug use in persons with these diseases [3,4,5,6]

  • We focus on dimensional aspects of drug selfexposure and their relationship to an opioid dependence diagnosis (OD)

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Summary

Introduction

Addictions to heroin or illicitly used prescription opioids (shortacting MOP-r agonists) cause major morbidity and mortality [1, 2], and there is considerable poly-drug use in persons with these diseases [3,4,5,6]. The impact of non-medical cannabis use with respect to vulnerability to develop an opioid use disorder remains under study [7]. This has been examined primarily with categorical classifications of cannabis use, such as “any use” vs “no use” or presence vs absence of a diagnosed cannabis use disorder. Epidemiological studies have shown that any cannabis use is associated with a later increase in odds of non-medical use of opioids and other drugs [8, 9]. The impact of increasing non-medical cannabis use on vulnerability to develop opioid use disorders has received considerable attention, with contrasting findings. A dimensional analysis of self-exposure to cannabis and other drugs, in individuals with and without opioid dependence (OD) diagnoses, may clarify this issue

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