Department of Psychological Sciences, University of Missouri, Columbia, MO, USA.
Queensland Institute of Medical Research- Berghofer, Brisbane, QLD, Australia.
Psychol Med. 2022 Oct;52(14):3176-3183. doi: 10.1017/S0033291720005267. Epub 2021 Jan 18.
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.
A total of 2410 individual Australian twins [M = 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.
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.
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.
药物类别是根据其化学和药理学特性进行分组的,但处方药和非法药物在其他重要方面有所不同。同一类别下的处方药和非法药物在(误用)使用方面可能存在遗传和环境影响的潜在差异,这些差异应该得到研究。阿片类药物和兴奋剂类药物包含处方药和非法药物,它们与显著的风险因素(常见的给药途径、合法性)相关,因此它们是解决这一病因问题的有用比较器。
共有 2410 名澳大利亚个体双胞胎[M = 31.77(s.d. = 2.48);67%为女性]接受了关于处方药滥用和非法使用阿片类药物和兴奋剂的访谈。单变量和双变量生物计量模型将方差和协方差分为药物类型的加性遗传、共享环境和独特环境影响。
处方类阿片类药物滥用倾向的变异归因于基因(41%)和独特环境(59%)。非法阿片类药物使用归因于共享(71%)和独特(29%)环境。处方兴奋剂滥用归因于基因(79%)和独特环境(21%)。非法兴奋剂使用归因于基因(48%)、共享环境(29%)和独特环境(23%)。有证据表明两种兴奋剂类型都存在遗传影响,但只有有限的证据表明两种阿片类药物类型都存在遗传影响。双变量相关性表明,处方类阿片类药物的使用可能与处方兴奋剂的使用比与非法阿片类药物的使用更具遗传相似性。
处方类阿片类药物滥用可能与非法阿片类药物使用遗传影响较小。未来的研究可能需要考虑避免单一的药物分类,尤其是在研究遗传影响时。