Quitting smoking and change in alcohol consumption in the International Tobacco Control (ITC) Four Country Survey

Prevalence and characteristics of co-occurrence of smoking and increasing-and-higher-risk drinking: A population survey in England

BACKGROUND

Smoking and drinking alcohol both significantly contribute to mortality and morbidity, and there is a need to characterise the sociodemographic and health-related characteristics (e.g. mental distress) of people who do both in order to target resources. This study reports the prevalence and characteristics of adults in the general population in England who both drink alcohol at increasing-and-higher-risk levels and smoke.

METHODS

We used cross-sectional data from a monthly, nationally representative survey of adults in England (n = 37,258; April 2020-March 2022). Weighted data were used to report prevalence and unweighted data were used to report descriptive statistics for sociodemographic and health-related characteristics.

RESULTS

The prevalence of both smoking and increasing-and-higher-risk drinking was 4.6% (95% CI = 4.4-4.9; n = 1,574). They smoked a mean of 10.4 (SD = 8.86) cigarettes per day and had a mean AUDIT score of 12.8 (SD = 5.18). Nearly half (48.2%, n = 751) were trying to cut down on their smoking and 28.0% (n = 441) on their drinking. A quarter (25.3%, n = 397) had received General Practitioner advice on smoking while 8.7% (n = 76) had received advice on their drinking. Nearly half (48.6%, n = 745) reported experiencing psychological distress in the past month and 44.6% (n = 529) had a diagnosed mental health condition, both of which were higher than among all adults (28.1% and 29.1%, respectively).

CONCLUSION

In England, from April 2020 to March 2022, the prevalence of both smoking and increasing-and-higher-risk drinking was 4.6%. This group appears to experience high rates of mental health problems and targeted support is needed.

Effects of dulaglutide on alcohol consumption during smoking cessation

BACKGROUNDAlcohol use disorder has a detrimental impact on global health and new treatment targets are needed. Preclinical studies show attenuating effects of glucagon-like peptide-1 (GLP-1) agonists on addiction-related behaviors in rodents and nonhuman primates. Some trials have shown an effect of GLP-1 agonism on reward processes in humans; however, results from clinical studies remain inconclusive.METHODSThis is a predefined secondary analysis of a double-blind, randomized, placebo-controlled trial evaluating the GLP-1 agonist dulaglutide as a therapy for smoking cessation. The main objective was to assess differences in alcohol consumption after 12 weeks of treatment with dulaglutide compared to placebo. The effect of dulaglutide on alcohol consumption was analyzed using a multivariable generalized linear model.RESULTSIn the primary analysis, participants out of the cohort (n = 255) who reported drinking alcohol at baseline and who completed 12 weeks of treatment (n = 151; placebo n = 75, dulaglutide n = 76) were included. The median age was 42 (IQR 33-53) with 61% (n = 92) females. At week 12, participants receiving dulaglutide drank 29% less (relative effect = 0.71, 95% CI 0.52-0.97, P = 0.04) than participants receiving placebo. Changes in alcohol consumption were not correlated with smoking status at week 12.CONCLUSIONThese results provide evidence that dulaglutide reduces alcohol intake in humans and contribute to the growing body of literature promoting the use of GLP-1 agonists in treatment of substance use disorders.TRIAL REGISTRATIONClinicalTrials.gov NCT03204396.FUNDINGSwiss National Foundation, Gottfried Julia Bangerter-Rhyner Foundation, Goldschmidt-Jacobson Foundation, Hemmi Foundation, University of Basel, University Hospital Basel, Swiss Academy of Medical Science.

Effectiveness of Varenicline and Cytisine for Alcohol Use Reduction Among People With HIV and Substance Use: A Randomized Clinical Trial

Importance

Cigarette smoking and risky alcohol consumption co-occur and are undertreated. Nicotine receptor partial agonists and nicotine replacement therapy (NRT) treat smoking but are unproven for alcohol, and clinical trials rarely include individuals with HIV, substance use, and mental health conditions.

Objective

To compare the effects on drinking and smoking of nicotinic acetylcholine receptor partial agonists varenicline and cytisine with those of NRT.

Design, Setting, and Participants

This 4-group randomized, double-blinded, placebo-controlled clinical trial was conducted from July 2017 to December 2020 in St Petersburg, Russia. Included participants were 400 individuals with HIV who engaged in risky drinking (≥5 prior-month heavy-drinking days [HDDs]) and daily smoking; they were followed up for 12 months after enrollment. Data were analyzed from May 2021 through June 2022.

Interventions

Participants received alcohol and tobacco counseling, 1 active medication, and 1 placebo in 1 of 4 groups: active varenicline and placebo NRT (group 1), placebo varenicline and active NRT (group 2), active cytisine and placebo NRT (group 3), or placebo cytisine and active NRT (group 4).

Main Outcomes and Measures

The primary outcome was number of prior-month HDDs at 3 months. Secondary outcomes included biochemically validated abstinence from alcohol at 3 months and smoking at 6 months.

Results

Among 400 participants (263 [65.8%] men; mean [SD] age, 39 [6] years), 97 individuals (24.3%) used opioids and 156 individuals (39.1%) had depressive symptoms. These individuals had a mean (SD) CD4 count of 391 (257) cells/mm3, smoked a mean (SD) of 21 [8] cigarettes/d, and reported a mean (SD) of 9.3 (5.8) HDDs in the prior 30 days. At 3 months, the mean (SD) number of HDDs was decreased vs baseline across all groups (group 1: 2.0 [3.8] HDDs vs. 9.5 [6.1] HDDs; group 2: 2.1 [4.3] HDDs vs 9.3 [5.7] HDDs; group 3: 1.5 [3.3] HDDs vs 8.9 [5.0] HDDs; group 4: 2.4 [5.2] HDDs vs 9.6 [6.3] HDDs). There were no significant differences at 3 months between groups in mean (SD) HDDs, including group 1 vs 2 (incident rate ratio [IRR], 0.94; 95% CI, 0.49-1.79), 3 vs 4 (IRR, 0.60; 95% CI, 0.30-1.18), and 1 vs 3 (IRR, 1.29; 95% CI, 0.65-2.55). There were no significant differences at 6 months between groups in smoking abstinence, including group 1 vs 2 (15 of 100 individuals [15.0%] vs 17 of 99 individuals [17.2%]; odds ratio [OR],0.89; 95% CI, 0.38-2.08), 3 vs 4 (19 of 100 individuals [19.0%] vs 19 of 101 individuals [18.8%]; OR, 1.00; 95% CI, 0.46-2.17), and 1 vs 3 (OR, 0.79; 95% CI, 0.35-1.78). Post hoc analyses suggested lower mean (SD) HDDs (eg, at 3 months: 0.7 [1.8] HDDs vs 2.3 [4.6] HDDs) and higher alcohol abstinence (eg, at 3 months: 30 of 85 individuals [35.3%] vs 54 of 315 individuals [17.1%]) among those who quit vs continued smoking.

Conclusions and Relevance

This study found that among individuals with HIV who engaged in risky drinking and smoking, varenicline and cytisine were not more efficacious than NRT to treat risky drinking and smoking but that behavior change rates were high in all groups.

Trial Registration

ClinicalTrials.gov Identifier: NCT02797587.

Longitudinal Associations Between Changes in Cigarette Smoking and Alcohol Use, Eating Behavior, Perceived Stress, and Self-Rated Health in a Cohort of Low-Income Black Adults

BACKGROUND

Black adults in the U.S. experience significant health disparities related to tobacco use and obesity. Conducting observational studies of the associations between smoking and other health behaviors and indicators among Black adults may contribute to the development of tailored interventions.

PURPOSE

We examined associations between change in cigarette smoking and alcohol use, body mass index, eating behavior, perceived stress, and self-rated health in a cohort of Black adults who resided in low-income urban neighborhoods and participated in an ongoing longitudinal study.

METHODS

Interviews were conducted in 2011, 2014, and 2018; participants (N = 904) provided at least two waves of data. We fit linear and logistic mixed-effects models to evaluate how changes in smoking status from the previous wave to the subsequent wave were related to each outcome at that subsequent wave.

RESULTS

Compared to repeated smoking (smoking at previous and subsequent wave), repeated nonsmoking (nonsmoking at previous and subsequent wave) was associated with greater likelihood of recent dieting (OR = 1.59, 95% CI [1.13, 2.23], p = .007) and future intention (OR = 2.19, 95% CI [1.61, 2.98], p < .001) and self-efficacy (OR = 1.64, 95% CI [1.21, 2.23], p = .002) to eat low calorie foods, and greater odds of excellent or very good self-rated health (OR = 2.47, 95% CI [1.53, 3.99], p < .001). Transitioning from smoking to nonsmoking was associated with greater self-efficacy to eat low calorie foods (OR = 1.89, 95% CI [1.1, 3.26], p = .021), and lower perceived stress (β = -0.69, 95% CI [-1.34, -0.05], p = .036).

CONCLUSIONS

We found significant longitudinal associations between smoking behavior and eating behavior, perceived stress, and self-rated health. These findings have implications for the development of multiple behavior change programs and community-level interventions and policies.

Analyzing Untreated Alcohol Use Disorder and Factors Related to Help-Seeking Status

OBJECTIVE

Alcohol use disorder (AUD) is a global burden but is also one of the most undertreated mental disorders. This study estimates the treatment rate (i.e., help-seeking status) of high-risk drinkers and factors associated with not receiving treatment in Korea using nationally representative National Health Insurance Service-National Sample Cohort (NHIS-NSC) data.

METHODS

Among 1,025,340 participants, we eliminated those under 20 and those who did not respond to the question regarding alcohol consumption. High-risk drinkers were classified based on their frequency and quantity of alcohol consumption (4 or more drinks for women, 5 or more drinks for men per day on average). In total, 32,225 high-risk drinkers were checked for an actual AUD diagnosis to see their treatment-seeking status.

RESULTS

Among 32,225 high-risk drinkers, only 1.24% had an AUD diagnosis, showing that over 98% of those who could be diagnosed with AUD are not seeking treatment. Factors associated with not seeking treatment were female sex, BMI higher or equal to 18.6, former smoker, middle-aged, and Charlson Comorbidity Index (CCI).

CONCLUSION

Our data show that many high-risk drinkers do not seek treatment in Korea. Experts, policymakers, and clinicians should promote help-seeking behavior for AUD and pay close attention to those at risk of not receiving treatment for AUD.

A systematic review of addiction substitution in recovery: Clinical lore or empirically-based?

This systematic review synthesized the literature examining addiction substitution during recovery from substance use or behavioral addictions. A total of 96 studies were included with sample sizes ranging from 6 to 14,885. The most common recovery addictions were opioids (30.21%), followed by cannabis (20.83%), unspecified use (17.71%), nicotine (12.50%), alcohol (12.50%), cocaine (4.17%), and gambling (2.08%). Statistical results were provided by 70.83% of the studies. Of these, 17.65% found support for addiction substitution, whereas 52.94% found support for concurrent recovery. A total of 19.12% found no statistical changes and 10.29% found both significant increases and decreases. The remaining 29.17% of studies provided descriptive data, without statistical tests. Predictors of addiction substitution were provided by 22.92% of the studies and 11.46% included information on impact of addiction substitution on treatment outcomes. Overall, male gender, younger age, greater substance use severity, and presence of mental health disorders were associated with addiction substitution. Addiction substitution was associated with poorer treatment outcomes. A limitation of the present systematic review is the use of significance counting for the quantitative synthesis. More research examining changes in addiction during recovery would aid in the development of more effective treatments for addictive disorders and prevent addiction substitution.

Effect of alcohol, tobacco, and cannabis co-use on gray matter volume in heavy drinkers

OBJECTIVE

Alcohol, tobacco, and cannabis are the three most frequently used drugs in the United States and co-use is common. Alcohol, tobacco, and cannabis use has been separately associated with altered brain structure, and alcohol and tobacco co-use results in decreases in gray matter volume. Less is known about the effect of alcohol and cannabis co-use, and alcohol, tobacco, and cannabis tri-use. Therefore, this study examined the effect of co- and tri-use on gray matter volume, a measure of brain cell density, in heavy drinkers.

METHOD

Heavy drinkers (n = 237; 152m/85f; age = 32.52; white = 111; black = 28; Latino = 9; American Indian = 2; Pacific Islander = 4; Asian = 59; mixed = 15; other = 9) were classified into four groups based on their alcohol, tobacco, and cannabis use: alcohol only users (n = 70), alcohol and tobacco co-users (n = 90), alcohol and cannabis co-users (n = 35), and alcohol, tobacco, and cannabis tri-users (n = 42). All participants completed a structural MRI scan. Voxel-based morphometry was conducted to evaluate the effect of co-use on gray matter volume, with alcohol only users as the reference group. Age, sex, and scanner were included as covariates.

RESULTS

Alcohol and tobacco co-users had significantly decreased left orbitofrontal gray matter volume relative to alcohol only users (Cohen's d = .79). There were no differences in gray matter volume between the alcohol only and alcohol and cannabis co-users, or between the alcohol only and tri-user groups.

CONCLUSION

The additive effect of tobacco co-use on gray matter volumes in heavy drinkers was limited and localized. The effect of tri-use of alcohol, tobacco, and cannabis may have interacted, such that overlapping cannabis and tobacco use masked volume differences present in separate co-using groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

A Facebook intervention to address cigarette smoking and heavy episodic drinking: A pilot randomized controlled trial

BACKGROUND

Co-occurrence of tobacco use and heavy episodic drinking (HED; 5+ drinks for men and 4+ drinks for women per occasion) is common among young adults; both warrant attention and intervention. In a two-group randomized pilot trial, we investigated whether a Facebook-based smoking cessation intervention addressing both alcohol and tobacco use would increase smoking abstinence and reduce HED compared to a similar intervention addressing only tobacco.

METHODS

Participants were 179 young adults (age 18-25; 49.7% male; 80.4% non-Hispanic white) recruited from Facebook and Instagram who reported smoking 4+ days/week and past-month HED. The Smoking Tobacco and Drinking (STAND) intervention (N = 84) and the Tobacco Status Project (TSP), a tobacco-only intervention (N = 95), both included daily Facebook posts for 90 days and weekly live counseling sessions in private "secret" groups. We verified self-reported 7-day smoking abstinence via remote salivary cotinine tests at 3, 6, and 12 months (with retention at 83%, 66%, and 84%, respectively). Participants self-reported alcohol use.

RESULTS

At baseline, the participants averaged 10.4 cigarettes per day (SD = 6.9) and 8.9 HED occasions in the past month (SD = 8.1), with 27.4% in a preparation stage of change for quitting smoking cigarettes. Participants reported significant improvements in cigarette smoking and alcohol use outcomes over time, with no significant differences by condition. At 12 months, intent-to-treat smoking abstinence rates were 3.5% in STAND vs. 0% in TSP (biochemically verified) and 29.4% in STAND vs. 25.5% in TSP (self-reported). Compared to TSP, participants rated the STAND intervention more favorably for supporting health and providing useful information.

CONCLUSIONS

Adding an alcohol treatment component to a tobacco cessation social media intervention was acceptable and engaging but did not result in significant differences by treatment condition in smoking or alcohol use outcomes. Participants in both conditions reported smoking and drinking less over time, suggesting covariation in behavioral changes.

High-intensity binge drinking is associated with cigarette smoking and e-cigarette use among US adults aged 40-64 years: Findings from the 2017 BRFSS survey

INTRODUCTION

This study aims to assess the association of cigarette smoking, including e-cigarette use, with level of binge drinking, especially high-intensity and extreme high-intensity binge drinking, among a nationally representative sample of middle-aged US adults.

METHODS

Data were derived from the 2017 Behavioral Risk Factor Surveillance System (BRFSS). The final sample consisted of 162748 respondents aged 40–64 years (48.7% male). Weighted distributions of sample characteristics were estimated by intensity of binge drinking. Pearson chi-squared tests were used to compare groups. Bivariate and multivariate logistic regressions were used to estimate crude and adjusted odds ratios to indicate the strength of the association between independent variables and each level of binge drinking.

RESULTS

In all, 2.3% and 0.7% of the sample reported high-intensity and extreme high-intensity binge drinking, respectively. Past-month high-intensity and extreme high-intensity binge drinking were reported in 36.3% and 45.0% of smokers, respectively. Mental distress was positively associated with both levels of high-intensity binge drinking; having multiple chronic health conditions was negatively associated with past-month high-intensity binge drinking. Smokers had 3.27 (95% CI: 2.69–3.98) and 4.14 (95% CI: 3.12–5.49) times greater odds of reporting past-month high-intensity and extreme high-intensity binge drinking, respectively. E-cigarette users had 1.56 (95% CI: 1.01–2.42) times increased odds of reporting past-month high-intensity binge drinking, but not extreme high-intensity binge drinking. The largest odds were seen among dual users reporting extreme high-intensity binge drinking (AOR=6.05; 95% CI: 3.78–9.68) in the past month.

CONCLUSIONS

Cigarette smoking and e-cigarette use were potentially strong risk factors for high-intensity binge drinking, with cigarette smoking associated with extreme high-intensity binge drinking.

Smoking characteristics and alcohol use among women in treatment for alcohol use disorder

BACKGROUND

Understanding the association between smoking and alcohol use among women may help inform the delivery of targeted interventions to address both of these health behaviors.

METHODS

This study analyzed data from N = 138 women enrolled in a randomized clinical trial comparing female-specific individual versus group cognitive-behavior therapy for alcohol use disorder (AUD). We assessed cigarette use patterns, participants' interest in quitting smoking and motivation to quit smoking during treatment for AUD, and examined the relationship between smoking and alcohol use before and during alcohol treatment.

RESULTS

Over a third of the sample reported smoking cigarettes at baseline (N = 47, 34.1%), with the majority of smokers reporting daily cigarette use. At baseline, those who smoked reported a high interest in quitting smoking M = 7.8 out of 10 (SD = 2.7), although most believed they should quit smoking only after achieving some success in quitting drinking (50.0%). However, participants who smoked cigarettes (compared to non-smokers) reported more alcohol abuse and dependence symptoms (p = .001), lower rates of completing the alcohol treatment (p = .03), attended significantly fewer treatment sessions (p = .008), and consumed significantly more drinks per day on average both at baseline (p = .002) and during the treatment period (p = .04).

CONCLUSIONS

Findings suggest that women with AUD who also smoke cigarettes have greater difficulty engaging in or responding to treatment for their alcohol use. However, these participants reported high interest in quitting smoking but low perceived readiness during AUD treatment, suggesting that motivational interventions should be considered that could take advantage of the opportunity to treat women for both of these co-occurring behaviors while in treatment.

The relationship between smoking cessation and binge drinking, depression, and anxiety symptoms among smokers with serious mental illness

INTRODUCTION

Concerns about the adverse effects of smoking cessation on alcohol use and mental health are a barrier to cessation for smokers with serious mental illness (SMI). The purpose of this study is to examine how incident smoking cessation affects binge drinking and symptoms of depression and anxiety among smokers with SMI.

METHODS

The present study is a secondary analysis of the OPTIN trial, which demonstrated the effectiveness of proactive outreach for smoking cessation among Minnesota Health Care Programs enrollees. Participants with ICD-9 codes indicating schizophrenia spectrum disorders, psychotic disorders, bipolar disorders, or severe/recurrent major depressive disorder were categorized as having SMI (n = 939); remaining smokers were categorized as non-SMI (n = 1382). Multivariable regressions modeled the association between incident smoking cessation and binge drinking, PHQ-2 depression scores, and PROMIS anxiety scores in the two groups.

RESULTS

Quitting smoking was not associated with binge drinking among those with SMI, but was associated with less binge drinking among those without SMI (p = 0.033). Quitting smoking was not associated with PHQ-2 depression scores among those with or without SMI. However, quitting smoking was associated with lower mean PROMIS anxiety scores for those with SMI (p = 0.031), but not those without SMI.

CONCLUSION

Quitting smoking was not associated with heightened binge drinking or symptoms of depression and anxiety among smokers with SMI. These findings suggest that quitting smoking is not detrimental for these patients, and provide evidential support for facilitating access to cessation resources for patients with serious mental illness who smoke.

Prevalence and co-occurrence of unhealthy lifestyle habits and behaviours among secondary school students in Tuscany, central Italy

OBJECTIVES

Unhealthy habits acquired during adolescence may persist in adulthood and eventually increase the risk of chronic illnesses.

STUDY DESIGN

We reported on a survey conducted in 2013-2015 among secondary school students in Tuscany, central Italy.

METHODS

We compared the prevalence of self-reported lifestyle characteristics and overweight/obesity between genders and age groups (14-16 vs 17-21 years). We partitioned each gender- and age-specific stratum into groups based on cigarette smoking and engagement in sport activities, and compared the prevalence of other unhealthy lifestyles across groups using Poisson regression.

RESULTS

Overall, 2167 students (53.3% males, mean age 16.8 years) were included. Males were more frequently overweight/obese than females. Cigarette smoking increased with age and did not differ by gender. Males were more likely to engage in sport activities, drink alcoholic beverages and adopt other unhealthy lifestyle habits, whereas females reported a more frequent use of painkillers. Cigarette smoking was the single lifestyle characteristic most consistently associated with other unhealthy habits.

CONCLUSIONS

The prevalence and patterns of co-occurrence of unhealthy lifestyle habits varied by gender and age group among secondary school students in Italy. Our findings should be taken into account when planning public health initiatives aiming to combat obesity and tackle unhealthy lifestyles among secondary school students in Italy.

The Association Between Health Changes and Cessation of Alcohol Consumption

AIMS

To assess whether health changes affect cessation of alcohol consumption and to compare the health status of former drinkers and abstainers.

METHODS

Cohort data from 9001 Korean participants aged 40-69 years old were analyzed. Alcohol consumption was assessed every 2 years for 10 years. Participant age, sex, marital status, education level, employment status, smoking, chronic disease, perceived health and changes in these variables were analyzed to identify factors associated with quitting alcohol drinking. The number of diseases and perceived health of former drinkers and people who at baseline were lifetime abstainers were compared.

RESULTS

Among 4037 drinkers at baseline, 673 (16.7%) were classed as quitters and 3364 (83.3%) were classed as non-quitters. Sex, age and worsened perception of health were significantly associated with cessation of drinking. Women and individuals >60 years were more likely to cease drinking. There was a significant association between disease onset or treatment and alcohol cessation for cancer cases, but not for cardiovascular disease or chronic disease cases. There was no significant difference in number of diseases or perceived health between former drinkers and people who at baseline were lifetime abstainers.

CONCLUSIONS

The effect of disease onset or treatment on alcohol consumption cessation depended on disease type. Former drinkers did not show significantly worse health than people who at baseline were lifetime abstainers. Further studies of alcohol consumption and its effects on health are needed to consider disease occurrence and changes in alcohol consumption.

SHORT SUMMARY

Disease onset or treatment significantly affected alcohol consumption cessation for cancer cases, but not for cardiovascular disease or other chronic disease cases. There was no significant difference in health status between former drinkers and lifetime abstainers.

Combination of ALDH2 and ADH1B polymorphisms is associated with smoking initiation: A large-scale cross-sectional study in a Japanese population

BACKGROUND

Aldehyde dehydrogenase 2 (ALDH2; rs671, Glu504Lys) and alcohol dehydrogenase 1B (ADH1B; rs1229984, His47Arg) polymorphisms are known to strongly influence alcohol　drinking behavior. Given evidence of an association between smoking and drinking behaviors, we hypothesized that ALDH2/ADH1B polymorphisms might also be associated with smoking initiation, and conducted a cross-sectional study to examine this hypothesis.

METHODS

Study subjects were first-visit outpatients diagnosed not to have cancer at Aichi Cancer Center Hospital between 2001 and 2005, including 4141 never smokers and 2912 ever smokers. Unconditional logistic regression models were applied to estimate odds ratios (OR) and 95% confidence intervals (CI) for smoking initiation by comparing ever smokers with never smokers.

RESULTS

Excessive alcohol drinking was associated with a higher likelihood of ever smoking. After adjustment for drinking behaviors, compared to individuals with ALDH2 Glu/Glu, the ORs of ever smoking were 1.71 (95% CI, 1.49-1.95) and 2.28 (1.81-2.87) among those with ALDH2 Glu/Lys and Lys/Lys, respectively. Combination of ALDH2 Lys/Lys and ADH1B His/His (i.e., the most alcohol-intolerant subpopulation) showed the highest OR [2.44 (1.84-3.23)], whereas combination of ALDH2 Glu/Glu and ADH1B Arg/Arg (i.e., the most alcohol-tolerant subpopulation) showed the lowest OR [0.83 (0.57-1.21)] compared with ALDH2 Glu/Glu and ADH1B His/His.

CONCLUSION

Besides the amount and frequency of alcohol drinking, the combination of ALDH2 and ADH1B polymorphisms predicts smoking initiation. This study suggests that alcohol tolerance regulated by ALDH2 and ADH1B polymorphisms is associated with smoking initiation, and facilitates the development of targeted interventions to reduce smoking prevalence.

Impact of quitting smoking and smoking cessation treatment on substance use outcomes: An updated and narrative review

BACKGROUND

Historically, smoking cessation was thought to negatively impact substance use outcomes among smokers who use other substances. We sought to synthesize recent reports on this association.

METHODS

Google Scholar, PubMed, and Cinahl were searched for studies published from 2006 to March 29, 2016 that reported impact of smoking cessation treatment or quitting smoking on substance use or substance use disorder treatment outcomes in the general population and among those in substance abuse treatment. Studies were grouped by reported impact as follows: "positive" (i.e. improved), "null" (i.e. no change), or "negative" (i.e. worsened).

RESULTS

Twenty-four studies were included. Eighteen reported the impact of quitting smoking and six reported the impact of smoking cessation treatment intervention, independent of quitting, on substance use outcomes. Eleven studies (46%) reported solely positive impact; four (17%) reported solely null impact; eight (33%) reported mixed positive and null impact by analysis (combined and subgroup, n=1); substance (n=4); length of follow-up (n=2); and comparison group (n=1). One study (4%) reported mixed negative and null impact by ethnic group. No studies reported increased substance use.

CONCLUSION

Smoking cessation does not appear to have a negative effect, and often has a positive effect on substance use outcomes. Smoking cessation advice should be offered, without hesitation, to smokers who report substance use and those in treatment for substance use disorder.

Factor Analysis and Psychometric Properties of the Minnesota Nicotine Withdrawal Scale and the Minnesota Nicotine Withdrawal Scale-Revised: Italian Version

BACKGROUND/AIMS

We run Exploratory and Confirmatory Factor Analyses of the Minnesota Nicotine Withdrawal Scale (MNWS) and of the MNWS-Revised (MNWS-R). Psychometric properties were also explored.

METHODS

Adult Italian smokers, 366 in all, were assessed via the MNWS-R together with rating scales measuring cigarette dependence, alcohol use, anxiety sensitivity and negative affect at baseline and after 3 months.

RESULTS

The MNWS showed good psychometric properties (α = 0.85; rtt = 0.59) and a unidimensional factor structure. The 2-factor model of MNWS-R had the best fit and the factors were labelled psychological symptoms (α = 0.86; rtt = 0.59) and associated somatic features (α = 0.64; rtt = 0.45).

CONCLUSIONS

MNWS showed 1 factor; MNWS-R showed 2 relatively dependent factors. The results need to be replicated in smokers in withdrawal.

Defining and predicting short-term alcohol use changes during a smoking cessation attempt

INTRODUCTION

Alcohol and nicotine are commonly used substances in the U.S., with significant impacts on health. Using both substances concurrently impacts quit attempts. While studies have sought to examine changes in alcohol use co-occurring with tobacco cessation, results have not been consistent. Understanding these changes has clinical implications. The objective of this study is to identify changes in alcohol consumption that occur following tobacco cessation, as well as predictors of alcohol use patterns following a smoking cessation attempt.

METHODS

A secondary analysis of a randomized, placebo-controlled trial evaluating the efficacy of five tobacco cessation pharmacotherapies. Participants (N=1301) reported their smoking and alcohol consumption daily for two weeks prior to, and two weeks after, the target quit date (TQD).

RESULTS

Generally, alcohol use decreased post-TQD. Smokers who reported less pre-quit alcohol use, as well as smokers who were female, non-white, and had a history of alcohol dependence tended to use less alcohol post-quit. Pre- and post-quit alcohol use were more strongly related among men and among those without a history of alcohol dependence.

CONCLUSIONS

For most smokers alcohol use decreased following smoking cessation. These results suggest that the expectation should be of decreased alcohol use post cessation. However, attention may be warranted for those who drink higher amounts of alcohol pre-cessation because they may be more likely to drink more in the post-quit period which may influence smoking cessation success.

Factors Associated with Successful Smoking Cessation in Korean Adult Males: Findings from a National Survey

BACKGROUND

Smoking cessation rates have remained stagnant globally. This study was conducted to explore the factors associated with successful smoking cessation among South Korean adult males using nationally representative data from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2007 to 2012. A comparison was made between successful quitters and those who failed to quit after attempts to stop smoking.

METHODS

A total of 7,839 males, aged 19-65 years, were included in this cross-sectional study. The outcome measures were the success and failure rates in smoking cessation, sociodemographic and clinical characteristics, health behaviors, perceived health status, quality of life, and mental health. Multiple logistic regression analyses were used to examine the various factors associated with smoking cessation success.

RESULTS

The cessation success and failure rates were 45.5% and 54.5%, respectively. Smoking cessation was related to older age, marriage, higher income, smoking larger amounts of cigarettes, use of willpower, alcohol abstinence, cancer history, better mental health, and higher levels of quality of life, after controlling for multiple variables. Second-hand smoke exposure at home and using nicotine replacement therapy were associated with a lower likelihood of smoking cessation.

CONCLUSION

A smoke-free environment, use of willpower, alcohol abstinence, and better stress management are important for smoking cessation. Unlike previous studies, not using nicotine replacement therapy and higher levels of daily cigarette consumption were associated with successful smoking cessation, suggesting that motivation appears to be important to smoking cessation in Korean adult male population.

The effect of snus on alcohol-related cigarette administration in dependent and non-dependent smokers

INTRODUCTION

Alcohol has been found to increase tobacco smoking in both dependent daily smokers (DDS) and nondependent nondaily smokers (NNS), yet little attention has been directed toward examining how different treatments/products modify drinking-related smoking behavior.

METHODS

This study examined the acute effects of snus (4mg of nicotine) on alcohol-related smoking responses in 18 DDS and 17 NNS. During each double-blind session, participants were randomly assigned to receive one of the following combinations: alcohol and snus, alcohol and placebo snus, placebo alcohol and snus, or placebo alcohol and placebo snus. Participants consumed their assigned beverage before absorbing their session's product, and after 30min participants could self-administer puffs of their preferred brand of cigarette over a 60-minute period using a progressive ratio task.

RESULTS

Alcohol significantly increased tobacco craving (p<.001) and tended to decrease latency to start smoking (p=.021) but only among NNS. In contrast, snus tended to decrease the number of puffs earned and how hard DDS worked for puffs in both beverage conditions (ps≤.019) but it did not alter the smoking behavior of NNS. Craving was not significantly impacted by snus in either type of smoker.

DISCUSSION

These findings raise the possibility that different processes mediate alcohol and cigarette co-use in NNS and DDS and suggest that snus may be effective in reducing alcohol-related cigarette use in DDS specifically.

Longitudinal associations between smoking cessation medications and alcohol consumption among smokers in the International Tobacco Control Four Country survey

BACKGROUND

Available evidence suggests that quitting smoking does not alter alcohol consumption. However, smoking cessation medications may have a direct impact on alcohol consumption independent of any effects on smoking cessation. Using an international longitudinal epidemiological sample of smokers, we evaluated whether smoking cessation medications altered alcohol consumption independent of quitting smoking.

METHODS

Longitudinal data were analyzed from the International Tobacco Control Four Country (ITC-4) Survey between 2007 and 2008, a telephone survey of nationally representative samples of smokers from the United Kingdom, Australia, Canada, and the United States (n = 4,995). Quantity and frequency of alcohol consumption, use of smoking cessation medications (varenicline, nicotine replacement [NRT], and no medications), and smoking behavior were assessed across 2 yearly waves. Controlling for baseline drinking and changes in smoking status, we evaluated whether smoking cessation medications were associated with reduced alcohol consumption.

RESULTS

Varenicline was associated with a reduced likelihood of any drinking compared with nicotine replacement (OR = 0.56; 95% CI = 0.34 to 0.94), and consuming alcohol once a month or more compared to nicotine replacement (OR = 0.43; 95% CI = 0.27 to 0.69) or no medication (OR = 0.63; 95% CI = 0.41 to 0.99). Nicotine replacement was associated with an increased likelihood of consuming alcohol once a month or more compared to no medication (OR = 1.14; 95% CI = 1.03 to 1.25). Smoking cessation medications were not associated with more frequent drinking (once a week or more) or typical quantity consumed per episode. Medication effects on drinking frequency were independent of smoking cessation.

CONCLUSIONS

This epidemiological investigation demonstrated that varenicline was associated with a reduced frequency of alcohol consumption. Continued work should clarify under what conditions nicotine replacement therapies may increase or decrease patterns of alcohol consumption.

Joint trajectories of multiple health-related behaviors among the elderly

OBJECTIVES

The main goal of this study was to identify the multiple trajectories of the following four health behaviors among the elderly by gender: smoking, drinking alcohol, getting regular exercise, and having a health checkup

METHODS

Data were from a longitudinal survey conducted among the elderly from 1996 to 2007 in Taiwan. In total, 5,880 respondents were included in the analysis

RESULTS

The trajectories of health-related behaviors differed between males and females. Five groups of male elderly were identified: smoking, inactive, healthy lifestyle, smoking and drinking, and quitting. Three groups of female elderly were identified: smoking and drinking, inactive, and healthy lifestyle. Age, education, self-rated health, depressive symptoms, and economic satisfaction at baseline were associated with the health behavior trajectories

CONCLUSION

The nature of healthy behaviors and risky behaviors may differ. Thus, multiple trajectories can exhibit patterns that differ from those of single behavior trajectories. Strategies designed to promote health need to consider both gender and behavior patterns which may change over time.

Implementation and outcomes of a pharmacy managed clinic for veterans in a substance abuse residential rehabilitation treatment program

Purpose: The purpose of this study is to evaluate the impact of a newly implemented pharmacy managed service in a Substance Abuse Residential Rehabilitation Treatment Program (SARRTP) within a Veterans Medical Center setting. Patients receiving residential treatment may have a lapse in primary care services if their primary care provider is based out of a different facility. This can result in undesirable outcomes, including unnecessary emergency department (ED) visits or unaddressed medical needs. Additionally, these patients have often made significant lifestyle modifications that can have a major impact on the treatment of their chronic medical conditions. A pharmacy-managed clinic was created for these patients to provide medication therapy management as appropriate within the scope of a pharmacist.

Methods: A retrospective chart review was performed using the Computerized Patient Record System to assess outcomes of the newly implemented pharmacy managed clinic for SARRTP patients. Institutional Review Board approval was obtained prior to data collection. Outcomes assessed included number of ED visits before and after clinic initiation, as well as number and type of pharmacist interventions. Fisher's exact test was used to determine statistical significance, defined as p&lt;0.05.

Results: Thirty-seven patients were seen in a total of 46 clinic visits over a period of six months. ED visits had a statistically significant decrease of 27.9% following clinic initiation (p&lt;0.05). There was an average of 4.3 problems assessed per patient. Average number of interventions per patient was 2.7 with an average of 3.5 educational topics documented.

Conclusion: ED visits decreased significantly following clinic initiation, resulting in cost savings. Multiple interventions were made through this new clinical service to improve Veteran care. Lifestyle modifications made by this patient population often require therapy adjustments and education to optimize care. This type of innovative clinical service would likely be beneficial for other facilities to consider providing.

A preliminary investigation of varenicline for heavy drinking smokers

RATIONALE

Varenicline, an approved smoking cessation pharmacotherapy, also shows promise as a potential treatment for alcohol dependence. However, varenicline has not been tested in heavy drinkers, and it remains to be determined whether varenicline could reduce alcohol craving and consumption in smokers who are trying to quit smoking.

OBJECTIVES

We conducted a preliminary study to examine the effect of varenicline on drinking behavior and the effects of extended varenicline pretreatment on smoking.

METHODS

Thirty heavy drinking smokers received smoking cessation counseling and were randomly assigned to receive either an extended 4-week pretreatment with varenicline 2 mg daily or the usual 1-week pretreatment. Those in the extended pretreatment group received active medication for 8 weeks (i.e., 4 weeks of active pre-treatment followed by 4 weeks of active treatment), and participants in the usual pretreatment group received active medication after a placebo lead in (i.e., 3 weeks of placebo followed by active medication for 5 weeks).

RESULTS

Participants who received varenicline during the first 3 weeks reported significantly greater reductions in alcohol craving and numerically fewer heavy drinking days compared to those who received placebo, and these differences persisted during the open-label phase. Extended pretreatment was associated with numerically greater reductions in cigarette smoking over the entire study period. There were no differences, however, in smoking abstinence rates following the smoking quit date between the two groups.

CONCLUSIONS

Findings from this preliminary study suggest that varenicline may be a promising strategy for concurrently reducing heavy drinking and promoting smoking changes in heavy drinkers.

Neuroimaging insights into the role of cortical GABA systems and the influence of nicotine on the recovery from alcohol dependence

This paper reviews evidence suggesting that nicotine and tobacco smoke profoundly modulate the effects of alcohol on γ-aminobutyric acid (GABA) neuronal function, specifically at the GABA(A)-benzodiazepine receptor (GABA(A)-BZR). The focus of this paper is on recent neuroimaging evidence in preclinical models as well as clinical experiments. First, we review findings implicating the role of alcohol at the GABA(A)-BZR and discuss the changes in GABA(A)-BZR availability during acute and prolonged alcohol withdrawal. Second, we discuss preclinical evidence that suggests nicotine affects GABA neuronal function indirectly by a primary action at neuronal nicotinic acetylcholine receptors. Third, we show how this evidence converges in studies that examine GABA levels and GABA(A)-BZRs in alcohol-dependent smokers and nonsmokers, suggesting that tobacco smoking attenuates the chemical changes that occur during alcohol withdrawal. Based on a comprehensive review of literature, we hypothesize that tobacco smoking minimizes the changes in GABA levels that typically occur during the acute cycles of drinking in alcohol-dependent individuals. Thus, during alcohol withdrawal, the continued tobacco smoking decreases the severity of the withdrawal-related changes in GABA chemistry. This article is part of a Special Issue entitled 'Trends in neuropharmacology: in memory of Erminio Costa'.