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Background: Most states have at least one policy targeting alcohol use during pregnancy. The public health impact of these policies has not been examined. We sought to examine the relationship between state-level policies targeting alcohol use during pregnancy and alcohol use among pregnant women., Methods: Data include state-level alcohol and pregnancy policy data and individual-level U.S. Behavioral Risk Factor Surveillance System data about pregnant women's alcohol use from 1985 to 2016 (N = 57,194). Supportive policies include mandatory warning signs, priority substance abuse treatment, reporting requirements for data and treatment purposes, and prohibitions on criminal prosecution. Punitive policies include civil commitment, Child Protective Services reporting requirements, and child abuse/neglect. Analyses include logistic regression models that adjust for individual- and state-level controls, include fixed effects for state and year, account for clustering by state, and weight by probability of selection., Results: Relative to having no policies, supportive policy environments were associated with more any drinking, but not binge or heavy drinking. Of individual supportive policies, only the following relationships were statistically significant: mandatory warning signs was associated with lower odds of binge drinking, and priority treatment for pregnant women and women with children was associated with higher odds of any drinking. Relative to no policies, punitive policy environments were also associated with more drinking, but not with binge or heavy drinking. Of individual punitive policies, only child abuse/neglect was associated with lower odds of binge and heavy drinking. Mixed policy environments were not associated with any alcohol outcome., Conclusions: Most policies targeting alcohol use during pregnancy do not seem to be associated with less alcohol consumption during pregnancy., (Copyright © 2019 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.)

Background: Substance use, psychiatric problems, and pain frequently co-occur, yet clinical profiles of treatment-seeking patients are poorly understood. To inform service and treatment planning, substance use and symptom patterns were examined in an outpatient psychiatry clinic, along with the relationship of these patterns to demographic characteristics and physical health., Methods: Patients (N = 405; age M = 38; 69% White; 60% female) presenting for intake in a psychiatry outpatient clinic completed a computerized assessment of psychiatric problems, drinking, and drug use. Substance use and psychiatric symptom patterns among the sample were identified using latent class analysis., Results: A 4-class model fit the data best: Class (1) Moderate symptoms/wide-range users (22.0%) had moderate depression and panic; tobacco, cocaine, hallucinogen, and ecstasy use; and high cannabis use. Class (2) Moderate depression/panic (37.8%) had moderate depression and panic. Class (3) Depression/anxiety, tobacco, and cannabis users (28.0%) had high depression, obsessions, and panic, and moderate pain severity, social phobia, compulsions, trauma, tobacco, and cannabis use. Class (4) Severe/wide range symptoms/users (12.0%) had high panic, depression, social phobia, obsessions, drug use, and moderate pain. Gender, ethnicity, and health status varied by class., Conclusions: Findings highlight the preponderance of substance use (particularly cannabis) and its relationship to psychiatric symptom severity, pain, and health status among those presenting for mental health treatment.

As older adults are prone to cognitive disorders, the interaction of the fields of substance use and misuse and cognitive neuroscience is an emerging area of research. Substance use has been reported in some subtypes of frontotemporal dementia, such as behavioral variant frontotemporal dementia. However, characterization of substance use in other subtypes of frontotemporal dementia, such as primary progressive aphasia, is unknown. The objective of this baseline analysis was to explore whether any measures of substance use history differed significantly among behavioral variant frontotemporal dementia (n = 842) and primary progressive aphasia (n = 526) in a large national dataset. The National Alzheimer's Coordinating Center's Uniform Data Set study is a national dataset that collects data on patients with various cognitive disorders and includes some questions on substance use. Each substance use variable was used as the outcome and the frontotemporal dementia subtype as the predictor. Total years smoked cigarettes, age when last smoked cigarettes, average number of packs/day smoked when participants smoked, and any recent, remote, or combined recent/remote history of alcohol abuse or drug abuse did not significantly differ between the behavioral variant frontotemporal dementia and primary progressive aphasia subtypes (all p-values > .001). A significantly greater percentage of participants smoked in the last 30 days in the behavioral variant frontotemporal dementia subtype (10.4%, n = 834) compared to the primary progressive aphasia subtype (3.3%, n = 517; p < .001). Clinical providers in both the dementia and substance use fields are encouraged to screen for and monitor substance use in all frontotemporal dementia subtypes.

Background: There is little information about pregnancy-related changes in alcohol use and factors contributing to changes among women with unwanted pregnancies. This study describes changes in alcohol use from before pregnancy recognition to during pregnancy and identifies important predictors of alcohol use severity among women with unwanted pregnancies., Methods: Data are from the Turnaway Study of 956 women seeking pregnancy termination at 30 U.S. facilities between 2008 and 2010, some of whom were denied care because they were past the gestational limit of the facility where they were recruited and were still pregnant at the baseline interview, 1 week after termination seeking. Predictors of alcohol use severity (a latent variable) were identified., Results: About 56% of the total sample reported any alcohol use the month before pregnancy recognition, with 23% reporting 6 or more drinks on an occasion. Among the total sample, 35% of those drinking before pregnancy recognition had quit and 20% had reduced 1 week after termination seeking. Among those denied terminations and still pregnant, 71% had quit and 14% had reduced. In a multivariate model predicting alcohol severity, younger age, still pregnant, 1 or more previous births, later gestation, childhood physical abuse, and marijuana and other drug use were associated with lower severity; having completed college, tobacco use, and recent physical violence were associated with higher severity., Conclusions: The proportion of the total sample drinking before pregnancy recognition is similar to national samples of women of childbearing age, while the proportion binge drinking appears higher. Of women denied terminations, who were still pregnant, the proportion having quit is similar to other populations of pregnant women. More research is needed to examine whether pregnant women may be substituting alcohol for marijuana and other drugs. Interventions focusing on alcohol use severity during pregnancy may need to also focus on tobacco., (Copyright © 2014 by the Research Society on Alcoholism.)

Objective: Smoking and alcohol use are highly related; as such the present study investigated whether alcohol use is associated with failure in tobacco cessation attempts. We first examined the self-reported drinking behavior and smoking over the course of a year at a basic level. Next, we addressed two hypotheses to characterize this relationship at a deeper level: (Hypothesis 1) Alcohol use would be lower for those who attempted to quit smoking (quit for one or more days) during the year compared to those who never quit, and (Hypothesis 2) for those who relapsed to smoking after a quit increases in alcohol consumption would be positively associated with increases in smoking., Method: Subjects were participants in two smoking cessation programs. One group of participants (N=139) was part of a smoking cessation study in alcohol dependent smokers in early recovery and the other group of participants (N=163) was drawn from a smoking cessation study for HIV positive smokers. H1 was tested using t-tests. For H2, a time series analysis examined relationships between smoking and alcohol use within person over a one year period. For H1 and for H2, the analyses utilized bivariate time series procedures. Timeline follow-back data allowed for detailed daily reports of both tobacco and alcohol use., Results: In the overall sample, there was no difference in alcohol use between those who stopped smoking and those who never stopped. However, when broken up by study, a difference was found in the alcohol dependent sample such that mean drinks were higher for those who stopped compared to those who never stopped smoking (H1). The results indicated a high number of positive significant cross-correlations between tobacco and alcohol use such that one substance predicted current, as well as past and future use of the alternate substance. Same-day cross-correlations were the most common, and dissipated with time (H2)., Conclusions: This analysis provided insights into the proximal influence of one substance on the other. Alcohol is related to relapse in smoking cessation attempts. It is important that smoking cessation efforts in alcohol using populations consider alcohol use in treatment., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

Subjective social status (SSS), an individual's subjective view of standing in society, has been shown to better predict health outcomes compared to objective measures of socioeconomic status (SES), including educational attainment and income. This study examines the relationship between SSS and severity of tobacco, alcohol, and marijuana use after controlling for objective measures of SES. Young adults (N = 1,987) aged 18-25 who reported smoking at least one cigarette in the past 30 days were recruited and surveyed anonymously online. Three separate structural equation models examined whether SSS was associated with severity of tobacco, alcohol, and marijuana use, controlling for personal and household income, years of education, employment status, and parental education. Household income (b = .31), employment status (b = .07), years of education (b = .09), and parental education (b = .16) were positively associated with SSS (all p values < .001); personal income was not significantly associated with SSS (p = .11). All three models adequately fit the data. SSS was negatively associated with severity of tobacco (b = -.13, p < .001) and marijuana use (b = -36, p = .02), but not alcohol use severity (b = .01, p = .56). Among young adults, higher subjective social status is associated with less severe tobacco and marijuana use, whereas alcohol use severity appears to be similar across socioeconomic class., (PsycINFO Database Record (c) 2013 APA, all rights reserved.)

Background: This study examined stability of remission in patients who were abstainers and non-problem users at 1-year after entering private, outpatient alcohol and drug treatment. We examined: (a) How does risk of relapse change over time? (b) What was the risk of relapse for non-problem users versus abstainers? (c) What individual, treatment, and extra-treatment characteristics predicted time to relapse, and did these differ by non-problem use versus abstinence?, Methods: The sample consisted of 684 adults in remission (i.e., abstainers or non-problem users) 1 year following treatment intake. Participants were interviewed at intake, and 1, 5, 7, 9, and 11 years after intake. We used discrete-time survival analysis to examine when relapse is most likely to occur and predictors of relapse., Results: Relapse was most likely at 5-year, and least likely at 11-year follow-up. Non-problem users had twice the odds of relapse compared to abstainers. Younger individuals and those with fewer 12-step meetings and shorter index treatment had higher odds of relapse than others. We found no significant interactions between non-problem use and the other covariates suggesting that significant predictors of outcome did not differ for non-problem users., Conclusions: Non-problem use is not an optimal 1-year outcome for those in an abstinence-oriented, heterogeneous substance use treatment program. Future research should examine whether these results are found in harm reduction treatment and self-help models, or in those with less severe problems. Results suggest treatment retention and 12-step participation are prognostic markers of long-term positive outcomes for those achieving remission at 1 year., (Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.)

Introduction: Alcohol and marijuana are among the most commonly used substances together with tobacco worldwide, but their relationship to smoking cessation is unclear. Although alcohol use decreases the likelihood of abstinence from tobacco, mechanisms of this effect have not been identified. Moreover, a small literature has yielded inconsistent findings regarding the effect of marijuana use on tobacco dependence treatment outcome. The aims of this study were to test increased positive-reinforcement smoking urge as a mediator of the relationship between alcohol and cigarette use and evaluate the impact of marijuana use on abstinence from tobacco., Methods: Participants were adult cigarette smokers (N = 739) from 3 randomized clinical trials of smoking cessation treatment. Alcohol consumption and marijuana use were assessed at pretreatment and postcessation. Biochemically verified, 7-day point prevalence smoking abstinence was determined at Weeks 12, 24, 36, and 52, as were urges to smoke as measured by the Questionnaire of Smoking Urges., Results: Increased positive-reinforcement urge mediated the effect of postcessation alcohol use on smoking abstinence. Although pretreatment alcohol use was associated with a decreased likelihood of abstinence from tobacco, increased positive-reinforcement urge did not account for this relationship. Marijuana use was not associated with abstinence from tobacco., Conclusions: Smoking cessation treatments should provide those who drink during a quit attempt techniques designed to mitigate positive-reinforcement urge to smoke. Additional research is needed to determine how pretreatment alcohol consumption exerts its effect on cigarette use. Modifying the use of marijuana might not be critical to the success of tobacco interventions.

Objective: Although the effect of alcohol assessment in medical settings has received attention, the longitudinal study of such efforts has been restricted to studying a single assessment/intervention dose. Such interventions can be recurrent and have effects on subsequent problem drinking., Method: A sample of problem drinkers in the general population (n = 672) and with admissions to chemical-dependency programs (n = 926) was interviewed at baseline and 1, 3, 5, and 7 years later. At each wave, respondents were asked about their drinking, their medical visits, and the intensity of the medical contact (whether during the visit they were asked about their drinking and, if so, whether they received or were referred to alcohol treatment)., Results: Rates of problem drinking declined over time, from 48% at the 1-year follow up to 38% at the 7-year follow-up. Problem drinkers were more likely at each wave to receive or be referred to treatment. Alcohol and drug severity increased with more intensive medical-contact types over time. Predicting subsequent problem drinking status from prior intensity of medical contact, odds of problem drinking at subsequent waves decreased with time, age, and prior drug severity while increasing with volume and alcohol severity. Odds of problem drinking were lower among prior problem drinkers receiving assessment and treatment/referral, compared with the assessed-only group. Examined separately, this effect was found only for those drinkers with lower volumes (average < 0.5 drinks/day)., Conclusions: Alcohol assessment may be effective in reducing problem drinking but may be most effective among the non-heaviest drinkers.

Objective: Much of what we know about the course of alcohol consumption in problem and dependent drinkers comes from studies of in-treatment populations. Less is known about the natural course of alcohol consumption among such drinkers in the general population and what predicts how much they drink., Method: This study examined alcohol consumption over the course of 11 years in a randomly selected sample of 672 problem and dependent drinkers from a single, heterogeneous U.S. county., Results: Alcohol consumption declined and leveled off over time but did not decrease to the average general U.S. population level. Several indicators of ongoing problems with drinking are associated with high levels of drinking over time: having a heavy-drinking network, receiving suggestions to do something about one's drinking, and going to treatment. Factors associated with less drinking include having contact with community agencies and going to Alcoholics Anonymous (AA)., Conclusions: Results suggest that problem and dependent drinkers continue to drink at an elevated level over the course of years. Gatekeepers, family members, and policymakers should encourage and facilitate contact with social service agencies and with AA for problem drinkers. Suggestions from others to do something about one's drinking and seeking specialty care occur more often in those with more severe problems and do not appear to be linked to less drinking over time.

Objective: The extent to which problem drinkers transition into and out of problem drinking was examined using Markov modeling., Method: Study participants (N = 1,350) were randomly sampled from one county's general population and from consecutive admissions to public and private alcohol treatment programs in the same county, and they were assessed at 1-, 3-, 5-, and 7-year follow-ups. At baseline, all met the criteria for problem drinking. Individuals were classified as "problem drinkers" if they reported at least two of three criteria (heavy episodic drinking, social consequences, dependence symptoms according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) during the prior 12 months., Results: Although all possible patterns were observed, a latent Markov model with heterogeneous transitions and five patterns fit the data. The sampling frame and baseline alcohol severity related to pattern., Conclusions: The data indicate that, although they do change over time, problem drinkers on the whole are more likely either to remain problem drinkers or to cease to be problem drinkers than they are to move into and out of problem-drinking status. Once they transition out of problem drinking, they are more likely to remain nonproblem drinkers.

Objective: This study examined the level, changes and predictors of alcohol consumption and binge drinking over a 7-year period among young adults (18-25 years) who met the criteria for problem drinking., Method: Interviews with 270 18 to 25 years old problem and dependent drinkers from representative public and private substance use treatment programs and the general population were conducted after 1, 3, 5, and 7 years. Measures included demographic characteristics, severity measures, and both formal and informal influences on drinking., Results: Overall alcohol consumption declined over time but leveled off around 24 years of age. Being male, not attending AA over time, as well as more baseline dependence symptoms and greater ASI alcohol and legal severity were associated with greater consumption and binge drinking. In addition, greater levels of binge drinking were associated with less education, earlier age of first use, and a larger social network of heavy drinkers. In conclusion, more attention should be paid to heavy drinking among young adults and to the factors that influence their drinking patterns.

Understanding the long-term course of problematic drinking is a fundamental concern for health services research in the alcohol field. The stability of, or change in, the course of drinking--especially heavy drinking--has both theoretical and applied relevance to alcohol research. We explore the application of latent class growth modeling to 5 years of survey data collected from dependent and problem drinkers--some not in treatment at baseline--in an attempt to uncover prototypical longitudinal drinking patterns. Results indicated that five profiles of drinkers can be used to represent their longitudinal course of alcohol consumption: early quitters (N = 88), light/non-drinkers (N = 76), gradual improvers (N = 129), moderate drinkers (N = 229), and heavy drinkers (N = 572). Significant baseline factors included ASI drug severity, dependence symptoms, and marital status. Attendance at AA meetings, the size of one's heavy drinking and drug using social network, past treatment, receiving suggestions about one's drinking, and contacts with the medical system were significant influences. The size of heavy drinking and drug using social networks was noticeably larger for the heavy drinkers. Findings also support the usefulness of a semi-parametric latent group-based approach as a tool for analyzing alcohol-related behaviors.

ObjectiveWe examined the frequency and intensity of tobacco use and thoughts about abstinence among young adults in the United States as a function of their use of marijuana. We hypothesized that heavier marijuana use would be associated with heavier tobacco use and fewer attempts to quit smoking, and we explored relationships between marijuana use and ratings of intentions and thoughts related to quitting tobacco.MethodThis was a cross-sectional survey consisting of online recruitment and anonymous self-report. Participants were English literate, were between the ages of 18 and 25 years, and reported past-month tobacco use. More than half (53%) had smoked marijuana in the past 30 days. Tobacco use (quantity/frequency, Heavy Smoking Index, past-year quit attempt), thoughts about tobacco use (outcome expectancies, desire, self-efficacy, difficulty of quitting, abstinence goal, pros and cons, stage of change), alcohol use, and other drug use were assessed.ResultsCompared with those who smoked only tobacco, cousers were younger and had smoked for fewer years; had higher household income; were more likely to be male, multiethnic, and nondaily smokers; and reported greater alcohol and other drug use. The variable of days using marijuana in the past 30 days was associated with multiple measures of tobacco use intensity/frequency. Only one association was significant between marijuana use and tobacco-related cognitions: Cousers had a lower likelihood of planning to quit tobacco for good (odds ratio = 0.75, 95% CI [0.58, 0.98]).ConclusionsFindings support the association between tobacco and marijuana use among young people but speak to the importance of addressing tobacco cognitions in young adult smokers regardless of level of marijuana use.

Objective: We conducted a secondary analysis of baseline data from a recently completed pharmacological pilot clinical trial among 30 veterans with alcohol dependence and posttraumatic stress disorder (PTSD). This trial included baseline measures of alcohol use biomarkers, both indirect (carbohydrate-deficient transferrin, GGT [y-glutamyltransferase], mean corpuscular volume, AST [aspartate aminotransferase], alanine aminotransferase) and direct (ethyl glucuronide, ethyl sulfate), as well as neurocognitive measures (Trail Making Test parts A and B. Hopkins Verbal Learning Test-Revised. Balloon Analogue Risk Task, Delay Discounting Task). Methods: Two regression models were estimated and tested for each neurocognitive measure (dependent measure). The first model included the alcohol use biomarker alone as the predictor. The second model included the alcohol use biomarker along with the following 3 additional predictors: Beck Depression Inventory, Clinician-Administered PTSD Scale, and receiving medications. Results: In both models, the indirect biomarkers, such as GGT and AST, significantly predicted performance on the Hopkins Verbal Learning Test-Revised %Retention. GGT alone significantly predicted performance on the Trail Making Test part A. Conclusions: Indirect alcohol use biomarkers may have a specific role in identifying those veterans with alcohol dependence and PTSD who have impaired cognitive performance. However, direct alcohol use biomarkers may not share such a role. [ABSTRACT FROM AUTHOR]

OBJECTIVE:: To analyze the relationship between perinatal drug/alcohol use and maternal, fetal, neonatal, and postneonatal mortality. STUDY DESIGN:: Linked California discharge, birth and death certificate data from 1991-1998 were used to identify drug/alcohol-diagnosed births. Mortality relative risk (RR) ratios were calculated and logistic models were generated for mortality outcomes. RESULTS:: Among 4,536,701 birth records, 1.20%contained drug/alcohol discharge diagnostic codes (n=54,290). The unadjusted RRs for maternal (RR=2.7), fetal (RR=1.3), neonatal (RR=2.4), and postneonatal (RR=4.3) mortality were increased for drug/alcohol-diagnosed births. After controlling for potential confounding, the odds of maternal death for cocaine use (OR=2.15) remained significant as did amphetamine (OR=1.77), cocaine (OR=1.43), polydrug (OR=2.01) and other drug/alcohol use (OR=1.79) for postneonatal mortality. CONCLUSIONS:: The association of cocaine use with maternal mortality and any drug/alcohol use with postneonatal mortality supports screening and identifying women using illicit drugs and alcohol during pregnancy. Increased collaboration with drug treatment programs and closer follow-up for drug-using women and their children may improve mortality outcomes.Journal of Perinatology (2005) 25, 93-100. doi:10.1038/sj.jp.7211214 Published online 21 October 2004 [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]