Washington University School of Medicine, Department of Psychiatry, St. Louis, MO 63110, United States.
Drug Alcohol Depend. 2010 Apr 1;108(1-2):49-55. doi: 10.1016/j.drugalcdep.2009.11.016. Epub 2010 Jan 4.
Using twins assessed during adolescence (Virginia Twin Study of Adolescent Behavioral Development: 8-17 years) and followed up in early adulthood (Young Adult Follow-Up, 18-27 years), we tested 13 genetically informative models of co-occurrence, adapted for the inclusion of covariates. Models were fit, in Mx, to data at both assessments allowing for a comparison of the mechanisms that underlie the lifetime co-occurrence of cannabis and tobacco use in adolescence and early adulthood. Both cannabis and tobacco use were influenced by additive genetic (38-81%) and non-shared environmental factors with the possible role of non-shared environment in the adolescent assessment only. Causation models, where liability to use cannabis exerted a causal influence on the liability to use tobacco fit the adolescent data best, while the reverse causation model (tobacco causes cannabis) fit the early adult data best. Both causation models (cannabis to tobacco and tobacco to cannabis) and the correlated liabilities model fit data from the adolescent and young adult assessments well. Genetic correlations (0.59-0.74) were moderate. Therefore, the relationship between cannabis and tobacco use is fairly similar during adolescence and early adulthood with reciprocal influences across the two psychoactive substances. However, our study could not exclude the possibility that 'gateways' and 'reverse gateways', particularly within a genetic context, exist, such that predisposition to using one substance (cannabis or tobacco) modifies predisposition to using the other. Given the high addictive potential of nicotine and the ubiquitous nature of cannabis use, this is a public health concern worthy of considerable attention.
利用青少年时期(弗吉尼亚双胞胎青少年行为发展研究:8-17 岁)评估的双胞胎,并在成年早期(青年随访,18-27 岁)进行随访,我们测试了 13 种具有遗传信息的共发模型,这些模型适合包含协变量。在 Mx 中,这些模型适用于两个评估的数据,以比较在青少年和成年早期一生中共同发生大麻和烟草使用的机制。大麻和烟草使用都受到加性遗传(38-81%)和非共享环境因素的影响,只有在青少年评估中可能存在非共享环境的作用。易感性模型中,使用大麻的易感性对使用烟草的易感性有因果影响,最适合青少年数据,而反向因果模型(烟草导致大麻)最适合成年早期数据。因果模型(大麻到烟草和烟草到大麻)和相关易感性模型都很好地适用于青少年和成年早期的评估数据。遗传相关性(0.59-0.74)适中。因此,大麻和烟草使用之间的关系在青少年和成年早期相当相似,两种精神活性物质之间存在相互影响。然而,我们的研究不能排除存在“门户”和“反向门户”的可能性,特别是在遗传背景下,使用一种物质(大麻或烟草)的倾向会改变使用另一种物质的倾向。鉴于尼古丁的高度成瘾性和大麻使用的普遍性质,这是一个值得高度关注的公共卫生问题。