Biological processes underlying co-use of alcohol and nicotine: neuronal mechanisms, cross-tolerance, and genetic factors.
ABSTRACT Alcohol and nicotine are two of the oldest and most commonly used recreational drugs, and many people use both of them together. Although their ready availability likely contributes to the strong correlation between alcohol and nicotine use, several lines of evidence suggest that biological factors play a role as well. For example, both alcohol and nicotine act on a brain system called the mesolimbic dopamine system, which mediates the rewarding and reinforcing properties of both drugs. Modification of the activities of the mesolimbic dopamine system can interfere with the effects of both alcohol and nicotine. Another mechanism that may contribute to alcohol-nicotine interactions is cross-tolerance to the effects of both drugs. Finally, genetic studies in humans and of selectively bred mouse and rat strains suggest that shared genetic factors help determine a person's liability to use or abuse both alcohol and nicotine.
Full-textDOI: · Available from: Anh D Lê, May 30, 2015
SourceAvailable from: Margareta Norberg[Show abstract] [Hide abstract]
ABSTRACT: Convincing evidence shows that smoking is associated with alcohol dependence (AD) and a positive correlation between snus and alcohol consumption was previously shown in cross-sectional studies. We performed a longitudinal evaluation of the risk of snus users to develop AD. A cohort study in Västerbotten County, Sweden, linked individual data on socioeconomic situation and health survey data from 21,037 men and women (46.5% men). AD was defined by the CAGE questionnaire and evaluated at baseline 1991-1997 and again after 10 years. The risk of developing AD was assessed using logistic regression analysis and propensity score matching. 2370 men and 430 women used snus and were without AD at baseline. Over the 10-year period, 499 men and 257 women developed AD, among whom 191 and 26, respectively, were baseline snus users. The crude relative risks of AD for male and female snus users compared to non-users were 1.8 with 95% CI (1.5, 2.2) and 2.9 (2.0, 4.3), respectively. Adjusted logistic regression showed a positive dose-response relationship between snus use and risk of AD. Analyses involving propensity score matching revealed 33 and 17 new cases of AD in men and women, respectively, after 10 years given 1000 men and 1000 women without AD had been baseline snus users rather than non-users. Results for current, previous and never smokers were similar. The use of snus is prospectively associated with an increased risk of AD with a dose-response relationship that is independent of smoking status. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.Drug and Alcohol Dependence 02/2015; 339. DOI:10.1016/j.drugalcdep.2015.01.042 · 3.28 Impact Factor
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ABSTRACT: Most studies on e-cigarettes have come from population-based surveys. The current research aimed to provide initial data on e-cigarette awareness, perceptions, use, and reasons for use among adults seeking substance use treatment. A survey was conducted among 198 participants ≥18 years old in a community-based outpatient substance use treatment program. Of the 198 participants, 69% currently smoked cigarettes, 92% were aware of e-cigarettes, and 58% had ever used e-cigarettes. The proportion of the number of participants who had ever used e-cigarettes to the number who currently smoked (89.7%) appeared higher than the corresponding proportion in the 2012-13 National Adult Tobacco Survey (78.3%). Almost half of the sample who reported ever using e-cigarettes endorsed quitting or reducing smoking as a reason for use, and 32% endorsed reasons for use relating to curiosity/experimentation. A greater likelihood of e-cigarette ever-use was significantly associated with younger age (adjusted odds ratio [AOR] = 0.94, 95%confidence interval [CI] = 0.90, 0.98) and perceptions related to using e-cigarettes in public places where smoking cigarettes is not allowed (AOR = 2.96, 95%CI = 1.18, 7.42) but was not associated with primary drug of choice. E-cigarette use in adults seeking substance use treatment appears higher than it is in the US general population of smokers. The high frequency of use may be due to curiosity/experimentation or attempts to quit or reduce smoking. Future research may consider how e-cigarettes interact with other substance use and affect high rates of nicotine and tobacco use in this population. (Am J Addict 2015;XX:1-7). © American Academy of Addiction Psychiatry.American Journal on Addictions 03/2015; 24(3). DOI:10.1111/ajad.12206 · 1.74 Impact Factor
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ABSTRACT: Despite tremendous growth in research examining the role of cognitive bias in addictive behaviors, scant consideration has been paid to the close association between smoking and drinking behavior. This study sought to determine whether an association between smoking and drinking could be observed at an implicit level using a novel cognitive bias task, as well as characterize the relationship between performance on this task and clinically relevant variables (i.e., heaviness of use/dependence). Individuals (N=51) with a range of smoking and drinking patterns completed a modified Stroop task in which participants identified the color of drinking, smoking and neutral words that were each preceded by drinking, smoking or neutral picture primes. Participants also provided information regarding the heaviness of their smoking and drinking behavior and completed self-report measures of alcohol and nicotine dependence. Response times to smoking and drinking words were significantly slowed following the presentation of either smoking or drinking picture primes. This effect did not differ across subgroups. However, the strength of the coupling between smoking and drinking prime effects was greater among heavier drinkers, who also exhibited a concordant looser coupling of the effects of smoking and drinking primes on smoking words. Associations between smoking and drinking can be observed at an implicit level and may be strongest for heavier drinkers. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.Drug and Alcohol Dependence 12/2014; 147. DOI:10.1016/j.drugalcdep.2014.12.010 · 3.28 Impact Factor