Genevieve F Dash1, Nicholas G Martin2, Arpana Agrawal3, Michael T Lynskey4, Wendy S Slutske1. 1. Department of Psychological Sciences, University of Missouri, Columbia, MO, USA. 2. Queensland Institute of Medical Research- Berghofer, Brisbane, QLD, Australia. 3. School of Medicine, Washington University in St. Louis, St. Louis, MO, USA. 4. Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Abstract
BACKGROUND: Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Potential differences in genetic and environmental influences on the (mis)use of prescription and illicit drugs that are subsumed under the same class should be examined. Opioid and stimulant classes contain prescription and illicit forms differentially associated with salient risk factors (common route of administration, legality), making them useful comparators for addressing this etiological issue. METHODS: A total of 2410 individual Australian twins [Mage = 31.77 (s.d. = 2.48); 67% women] were interviewed about prescription misuse and illicit use of opioids and stimulants. Univariate and bivariate biometric models partitioned variances and covariances into additive genetic, shared environmental, and unique environmental influences across drug types. RESULTS: Variation in the propensity to misuse prescription opioids was attributable to genes (41%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was attributable to genes (79%) and unique environment (21%). Illicit stimulant use was attributable to genes (48%), shared environment (29%), and unique environment (23%). There was evidence for genetic influence common to both stimulant types, but limited evidence for genetic influence common to both opioid types. Bivariate correlations suggested that prescription opioid use may be more genetically similar to prescription stimulant use than to illicit opioid use. CONCLUSIONS: Prescription opioid misuse may share little genetic influence with illicit opioid use. Future research may consider avoiding unitary drug classifications, particularly when examining genetic influences.
BACKGROUND: Drug classes are grouped based on their chemical and pharmacological properties, but prescription and illicit drugs differ in other important ways. Potential differences in genetic and environmental influences on the (mis)use of prescription and illicit drugs that are subsumed under the same class should be examined. Opioid and stimulant classes contain prescription and illicit forms differentially associated with salient risk factors (common route of administration, legality), making them useful comparators for addressing this etiological issue. METHODS: A total of 2410 individual Australian twins [Mage = 31.77 (s.d. = 2.48); 67% women] were interviewed about prescription misuse and illicit use of opioids and stimulants. Univariate and bivariate biometric models partitioned variances and covariances into additive genetic, shared environmental, and unique environmental influences across drug types. RESULTS: Variation in the propensity to misuse prescription opioids was attributable to genes (41%) and unique environment (59%). Illicit opioid use was attributable to shared (71%) and unique (29%) environment. Prescription stimulant misuse was attributable to genes (79%) and unique environment (21%). Illicit stimulant use was attributable to genes (48%), shared environment (29%), and unique environment (23%). There was evidence for genetic influence common to both stimulant types, but limited evidence for genetic influence common to both opioid types. Bivariate correlations suggested that prescription opioid use may be more genetically similar to prescription stimulant use than to illicit opioid use. CONCLUSIONS: Prescription opioid misuse may share little genetic influence with illicit opioid use. Future research may consider avoiding unitary drug classifications, particularly when examining genetic influences.
Entities:
Keywords:
Illicit drug use; opioids; prescription misuse; stimulants; twin study
Authors: Kenneth S Kendler; Charles Gardner; Kristen C Jacobson; Michael C Neale; Carol A Prescott Journal: Psychol Med Date: 2005-09 Impact factor: 7.723
Authors: Nathan A Gillespie; Timothy C Bates; Ian B Hickie; Sarah E Medland; Brad Verhulst; Robert M Kirkpatrick; Kenneth S Kendler; Nicholas G Martin; Eric G Benotsch Journal: Addiction Date: 2019-08-16 Impact factor: 6.526