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This study examined prevalence and correlates of using cigarettes, e-cigarettes, and other tobacco/nicotine delivery products in a U.S. national sample of women of reproductive age. Weighted data were obtained from women aged 15-44 years who were not currently pregnant in the first wave of the Population Assessment of Health and Tobacco (PATH, 2013–2014) study (N = 12,848). 20.1% of women were current cigarette smokers, 5.9% current e-cigarette users, 4.9% current cigar smokers, and 6.5% current hookah users. Prevalence of current use of other tobacco products was < 1.0%. Current cigarette smoking was the strongest correlate of current e-cigarette use (OR = 65.7, 95% CI = 44.8-96.5), cigar smoking (OR = 19.2, 95% CI = 14.1-26.1), and hookah use (OR = 6.6, 95% CI = 5.1-8.5). Among former cigarette smokers, 3.8%, 6.9%, and 3.2% were also currently using e-cigarettes, hookah, and cigars, respectively. Use of other tobacco and nicotine delivery products was low among those who never smoked tobacco cigarettes: 2.5% used hookah and < 1.0% used other products. Cigarette smoking prevalence remains relatively high among women of reproductive age and strongly correlated with use of other tobacco products. Monitoring tobacco and nicotine use in this population is important due to the additional risk of adverse health impacts should they become pregnant. Clinicians working with cigarette smokers should assess for use of other tobacco products. Among women of reproductive age, use of emerging tobacco and nicotine products appears to be largely, although not exclusively, restricted to current cigarette smokers.

This study examined quit rates longitudinally for cigarettes, e-cigarettes, hookah, cigars, and all tobacco products in a U.S. national sample of women aged 18–44 who completed both Wave 1 (W1) and Wave 2 (W2) of the Population Assessment of Tobacco and Health (PATH, 2013–2014, 2014–2015) study (N = 7814). Quit rates were examined among women who transitioned into pregnancy across survey waves, and among a comparable sample of non-pregnant women to provide contextual information about quitting among the broader population of reproductive-aged women. Multiple logistic regression modeling was used to estimate the associations of pregnancy and quitting adjusting for other demographic and psychosocial characteristics. Quit rates among women who were pregnant in W2 were highest for hookah (98.3%), followed by cigars (88.0%), e-cigarettes (81.3%), and lowest for tobacco cigarettes (53.4%). Slightly more than half (58.7%) of women reported quitting use all tobacco products while pregnant. Pregnancy was independently associated with increased odds of quitting hookah (AOR = 52.9, 95%CI = 3.4, 830.2), e-cigarettes (AOR = 21.0, 95%CI = 2.6, 170.3), all tobacco products (AOR = 9.6, 95%CI = 6.4, 14.5), and cigarettes (AOR = 6.5, 95%CI = 4.2, 10.1), although not cigars. Relative to other demographic and psychosocial characteristics, pregnancy was the strongest predictor of quitting use of each tobacco product. While these data indicate that pregnancy has strong, independent associations with quitting a variety of commercially available tobacco products, the comparatively lower quit rates for cigarettes versus other tobacco products underscores the long-standing need for more intensive, multipronged clinical and regulatory interventions to reduce cigarette use among reproductive-aged women.

Smoking status following cardiac events strongly predicts future morbidity and mortality. Using a nationally representative sample of United States adults, aims of this study were (1) to estimate use of, and attitudes towards, tobacco products as a function of level of cardiac risk, and (2) to explore changes in attitudes and tobacco use among adults experiencing a recent myocardial infarction (MI). Data were obtained from the first and second waves of the Population Assessment of Tobacco and Health (PATH) study. Use and attitudes towards tobacco products were examined at Wave 1 among adults with no chronic health condition (n = 18,026), those with risk factors for heart disease (n = 4593), and those who reported ever having had an MI (n = 643). Changes in perceived risk of tobacco and use between the two waves and having an MI in the last 12 months (n = 240) were also examined. Those who reported lifetime MI were more likely to believe that smoking/using tobacco was causing/worsening a health problem. Having had a recent MI event increased perceived tobacco-related risk and attempts at reduction/quitting, but did not significantly impact combusted tobacco cessation/reduction or uptake of non-combusted tobacco products. Sociodemographic characteristics and use of other tobacco products were associated with change in use of tobacco products. Those who have an MI are sensitized to the harm of continued smoking. Nonetheless, having an MI does not predict quitting combusted tobacco use or switching to potentially reduced harm products. Intense intervention is necessary to reduce combusted use in this high-risk population.

The application of financial incentives has proved to be a gainful treatment for cigarette smoking, yet the cost of delivering financial incentives has been a barrier to its widespread implementation. The goal of the present study is to test this treatment (with counseling) in a brief 3-week format, thereby reducing the cost. Results indicated that for one participant incentives were effective at promoting long-term abstinence from cigarette smoking. Though more research is needed, this treatment appears to be effective and can be delivered at a relatively low cost. • Financial incentives can be utilized to promote abstinence from cigarette smoking. • Regular monitoring of biomarkers of cigarette smoking is required in this treatment. • One low-cost feature of this treatment is that a participant that does not abstain from smoking does not receive incentives, as was the case for one participant in this study. • Abstinence is achieved through a combination of skill-training and reinforcing the absence cigarette smoking (differential reinforcement of other behavior; DRO).

The present study examined full-flavor cigarette use among women of reproductive age to assess whether use is associated with greater nicotine dependence and smoking during pregnancy. We used data from the National Survey on Drug Use and Health (2005–2014). Consecutive years were combined to assure sufficient numbers of pregnant women. We examined whether use of full-flavor cigarettes was associated with greater odds of nicotine dependence using the Fagerstrom Test for Nicotine Dependence and Nicotine Dependence Syndrome Scale (NDSS), controlling for other smoking characteristics. We next compared prevalence of smoking and use of full-flavor versus lower-yield cigarettes among non-pregnant versus pregnant women and across trimesters. Lastly, we examined whether pregnancy was associated with greater odds of using full-flavor cigarettes after controlling for potential confounders. Use of full-flavor cigarettes was associated with greater adjusted odds of nicotine dependence compared to lower yields among non-pregnant (Fagerstrom: 2.50, 95% CI: 2.32,2.70; NDSS: 1.75, 95% CI: 1.62,1.88) and pregnant (Fagerstrom: 1.53, 95% CI: 1.13,2.05; NDSS: 1.53, 95% CI: 1.12,2.10) smokers. As smoking prevalence decreased among pregnant compared to non-pregnant women (14.31 ± 0.55% versus 22.73 ± 0.17%), prevalence of using full-flavor cigarettes increased (54.82 ± 1.63% versus 38.86 ± 0.35%). Similarly, as smoking prevalence decreased from 1st to 3rd trimester (19.65 ± 1.2%, 12.50 ± 0.84%, 11.3 ± 0.83%), prevalence of using full-flavor cigarettes increased (53.12 ± 2.53%, 50.57 + 2.92%, 63.63 ± 3.19%). Overall, pregnancy was associated with 1.43 (95% CI: 1.22, 1.68) greater adjusted odds of full-flavor cigarette use. These results indicate that users of full-flavor cigarettes have greater nicotine-dependence risk and lower likelihood of quitting smoking during pregnancy, relationships with potential for serious adverse maternal-infant health impacts.

Monitoring use of tobacco products among pregnant women is a public health priority, yet few studies in U.S. national samples have been reported on this topic. We examined prevalence and correlates of using cigarettes, e-cigarettes, and other tobacco/nicotine delivery products in a U.S. national sample of pregnant women. Data were obtained from all pregnant women (≥ 18 years) in the first wave of the Population Assessment of Tobacco and Health (PATH, 2013–2014) Study (N = 388). Prevalence of current and prior use of tobacco/nicotine products was examined overall and among current cigarette smokers. Multiple logistic regression was used to examine correlates of use of cigarettes, e-cigarettes, hookah and cigars. Overall prevalence was highest for cigarettes (13.8%), followed by e-cigarettes (4.9%), hookah (2.5%) and cigars (2.3%), and below 1% for all other products. Prevalence of using other tobacco products is much higher among current smokers than the general population, with e-cigarettes (28.5%) most prevalent followed by cigars (14.0%), hookah (12.4%), smokeless (4.7%), snus (4.6%), and pipes (2.1%). Sociodemographic characteristics (poverty, low educational attainment, White race) and past-year externalizing psychiatric symptoms were correlated with current cigarette smoking. In turn, current cigarette smoking and past year illicit drug use were correlated with using e-cigarettes, hookah, and cigars. These results underscore that tobacco/nicotine use during pregnancy extends beyond cigarettes. The results also suggest that use of these other products should be included in routine clinical screening on tobacco use, and the need for more intensive tobacco control and regulatory strategies targeting pregnant women.

Disparities in tobacco use are worsening in the United States, disproportionately affecting those with chronic medical conditions. One possible contributor is that physicians may not screen and advise cessation uniformly across patients and/or tobacco products.This study examined provider communications regarding cigarette and non-cigarette tobacco products among adults with chronic conditions.Cross-sectional study drawn from two waves (2013-2014) of the National Survey on Drug Use and Health (NSDUH).Adults (≥ 18 years) who used tobacco in the past year.Prevalence of tobacco use included past-year use of cigarettes, cigars, or smokeless tobacco among those with and without chronic conditions. Chronic conditions included asthma, anxiety, coronary heart disease, depression, diabetes, hepatitis, HIV, hypertension, lung cancer, stroke, and substance abuse. Odds ratio of receipt of screening and advice to quit across chronic condition and tobacco product type were reported. Data were analyzed using logistic regression, controlling for basic sociodemographic factors and number of provider visits.Adults with anxiety, depression, and substance use disorders had the highest prevalence of past-year cigarette (37.2-58.2%), cigar (9.1-28.0%), and smokeless tobacco (3.1-11.7%) use. Patients with any chronic condition were more likely to receive advice to quit than those without a condition (OR 1.21-2.37, p 0.01), although the odds were lowest among adults with mental health and substance use disorders (OR 1.21-1.35, p 0.01). Cigarette smokers were more likely to report being screened and advised to quit than non-cigarette tobacco users (OR 1.54-5.71, p 0.01).Results support the need for provider training to expand screening and cessation interventions to include the growing spectrum of tobacco products. Screening and referral to interventions are especially needed for those with mental health and substance use disorders to reduce the disparate burden of tobacco-related disease and death.

A substantive obstacle to experimentally studying cigarette smoking and use of other tobacco products in pregnant women is the risk of adverse effects on mother and fetus from experimenter administration of the product of interest. The purpose of this study is to investigate bypassing that obstacle by using behavioral economic simulation tasks. In the present study we used the Cigarette Purchase Task (CPT) to simulate changes in demand for hypothetical cigarettes as a function of varying cigarette prices. Participants were 95 pregnant women who completed the CPT prior to participation in a smoking-cessation trial. Aggregate and individual participant demand varied as an orderly function of price and those changes were well fitted by an exponential equation. Demand also varied in correspondence to two well-validated predictors of individual differences in smoking cessation among pregnant women (cigarettes smoked per day, pre-pregnancy quit attempts). Moreover, CPT indices were more effective than these two conventional variables in predicting individual differences in whether women made a quit attempt during the current pregnancy. Overall, these results represent a promising step in demonstrating the validity and utility of the CPT for experimentally examining demand for cigarettes, and potentially other tobacco and nicotine delivery products, among pregnant women.

Introduction: Chronic conditions are among the most common and costly of all health problems. Addressing tobacco use among adults with chronic conditions is a public health priority due to high prevalence as well as greater potential harm from continued use. Methods: Data were drawn from 9 years (2005–2013) of the U.S. National Survey on Drug Use and Health. Adult (≥ 18 years) tobacco use included any past 30-day use of cigarettes, cigars, pipes, or smokeless tobacco. Chronic conditions examined included anxiety, asthma, coronary heart disease, depression, diabetes, hepatitis, HIV, hypertension, lung cancer, stroke, and substance abuse. Controlling for sociodemographics, trends in product use for most conditions and a composite of any condition among those with chronic conditions were compared to respondents with no condition in weighted logistic regression analyses. Results: Cigarette smoking declined significantly over time among adults with no chronic condition. Adults with one or more chronic condition showed no comparable decrease, with cigarette smoking remaining especially high among those reporting anxiety, depression, and substance abuse. Cigar and pipe use remained stable and more prevalent among those with any chronic condition, with the exception of pipe use declining among those with heart disease. Smokeless tobacco use increased over time, with higher prevalence among those with asthma, mental health, and substance abuse conditions. Conclusions: These findings have tobacco control and regulatory implications for addressing higher tobacco use among adults with chronic conditions. Provider advice and cessation resources targeting tobacco use among those with chronic conditions are recommended.

Relatively little has been reported characterizing cumulative risk associated with co-occurring risk factors for cigarette smoking. The purpose of the present study was to address that knowledge gap in a U.S. nationally representative sample.Data were obtained from 114,426 adults (≥18years) in the U.S. National Survey on Drug Use and Health (years 2011-13). Multiple logistic regression and classification and regression tree (CART) modeling were used to examine risk of current smoking associated with eight co-occurring risk factors (age, gender, race/ethnicity, educational attainment, poverty, drug abuse/dependence, alcohol abuse/dependence, mental illness).Each of these eight risk factors was independently associated with significant increases in the odds of smoking when concurrently present in a multiple logistic regression model. Effects of risk-factor combinations were typically summative. Exceptions to that pattern were in the direction of less-than-summative effects when one of the combined risk factors was associated with generally high or low rates of smoking (e.g., drug abuse/dependence, age ≥65). CART modeling identified subpopulation risk profiles wherein smoking prevalence varied from a low of 11% to a high of 74% depending on particular risk factor combinations. Being a college graduate was the strongest independent predictor of smoking status, classifying 30% of the adult population.These results offer strong evidence that the effects associated with common risk factors for cigarette smoking are independent, cumulative, and generally summative. The results also offer potentially useful insights into national population risk profiles around which U.S. tobacco policies can be developed or refined.

The purpose of this study was to begin researching the effects of very low nicotine content cigarettes in smokers especially vulnerable to dependence to assess their potential as a less dependence-producing alternative to current commercial cigarettes.Participants were 26 adult, daily cigarette smokers from one of three populations: economically disadvantaged women of reproductive age (n = 9), opioid-dependent individuals (n = 11), and individuals with affective disorders (n = 6). Participants completed fourteen 2-4-h experimental sessions in a within-subjects research design. Sessions were conducted following brief smoking abstinence. Four research cigarettes varying in nicotine content (0.4, 2.4, 5.2, and 15.8 mg/g) were studied under double-blind conditions, assessing smoking topography, subjective effects, and relative reinforcing effects of varying doses in concurrent choice tests. Results were collapsed across vulnerable populations and analyzed using repeated measures ANOVA.No significant differences between doses were discernible in smoking topography. All doses were equi-effective at reducing nicotine withdrawal. Ratings of satisfaction from smoking were lower at the 0.4 compared to 15.8 mg/g dose. Participants preferred the 15.8 mg/g dose over the 0.4 and 2.4 but not the 5.2 mg/g doses in concurrent choice testing; no differences between the two lowest doses were noted.All cigarettes effectively reduced nicotine withdrawal with no differences in smoking topography, suggesting minimal compensatory smoking. Dependence potential was lowest at the 0.4 mg/g dose. These initial results are promising regarding the feasibility of lowering nicotine content in cigarettes to very low levels in vulnerable populations without untoward effects.

Use of technology (e.g., Internet, cell phones) to allow remote implementation of incentives interventions for health-related behavior change is growing. To our knowledge, there has yet to be a systematic review of this literature reported. The present report provides a systematic review of the controlled studies where technology was used to remotely implement financial incentive interventions targeting substance use and other health behaviors published between 2004 and 2015. For inclusion in the review, studies had to use technology to remotely accomplish one of the following two aims alone or in combination: (a) monitor the target behavior, or (b) deliver incentives for achieving the target goal. Studies also had to examine financial incentives (e.g., cash, vouchers) for health-related behavior change, be published in peer-reviewed journals, and include a research design that allowed evaluation of the efficacy of the incentive intervention relative to another condition (e.g., non-contingent incentives, treatment as usual). Of the 39 reports that met inclusion criteria, 18 targeted substance use, 10 targeted medication adherence or home-based health monitoring, and 11 targeted diet, exercise, or weight loss. All 39 (100%) studies used technology to facilitate remote monitoring of the target behavior, and 26 (66.7%) studies also incorporated technology in the remote delivery of incentives. Statistically significant intervention effects were reported in 71% of studies reviewed. Overall, the results offer substantial support for the efficacy of remotely implemented incentive interventions for health-related behavior change, which have the potential to increase the cost-effectiveness and reach of this treatment approach.

BACKGROUND: Researchers in several studies have examined correlations between tobacco harm perceptions and tobacco use in youth, but none have prospectively addressed the association between harm perceptions and subsequent new use across multiple noncigarette products. METHODS: Product-specific absolute and relative harm perceptions for cigarettes, electronic cigarettes (e-cigarettes), cigars, pipes, hookah, and smokeless tobacco were collected at wave 1 (W1) (2013–2014) among youth in the nationally representative US Population Assessment of Tobacco and Health Study (12–17 years of age; n = 10 081). At wave 2 (W2) (2014–2015), product-specific new use was calculated. Adjusted relative risks were used to estimate if harm perceptions at W1 predicted W2 new tobacco use. RESULTS: The proportion of youth who endorsed “a lot of harm” was highest for cigarettes (84.8%) and lowest for e-cigarettes (26.6%); the proportion of youth who thought products were “more harmful” than cigarettes was highest for cigars (30.6%) and lowest for e-cigarettes (5.1%). Among youth who had not used those products at W1, product-specific new use at W2 ranged from 9.1% (e-cigarettes) to 0.6% (pipes). Youth who believed that noncombustible tobacco products posed “no or little harm” at W1 were more likely to have tried those products at W2 (P < .05). Youth who viewed e-cigarettes, hookah, and smokeless tobacco as “less harmful” than cigarettes at W1 were more likely to try those tobacco products at W2 (P < .05). CONCLUSIONS: Low harm perceptions of noncigarette tobacco products predict new use of these products by youth within the next year. Targeting product-specific harm perceptions may prevent new tobacco use among youth.

U.S. smoking prevalence is declining at a slower rate in rural than urban settings and contributing to regional health disparities. Cigarette smoking among women of reproductive age is particularly concerning due to the potential for serious maternal and infant adverse health effects should a smoker become pregnant. The aim of the present study was to examine whether this rural-urban disparity impacts women of reproductive age (ages 15–44) including pregnant women. Data came from the ten most recent years of the U.S. National Survey on Drug Use and Health (2007–2016). We estimated prevalence of current smoking and nicotine dependence among women categorized by rural-urban residence, pregnancy status, and trends using chi-square testing and multivariable modeling while adjusting for common risk factors for smoking. Despite overall decreasing trends in smoking prevalence, prevalence was higher among rural than urban women of reproductive age overall (χ2(1) = 579.33, p < .0001) and among non-pregnant (χ2(1) = 578.0, p < .0001) and pregnant (χ2(1) = 79.69, p < .0001) women examined separately. An interaction between residence and pregnancy status showed adjusted odds of smoking among urban pregnant compared to non-pregnant women (AOR = .58, [.53 –.63]) were lower than those among rural pregnant compared to non-pregnant women (AOR = 0.75, [.62 –.92]), consistent with greater pregnancy-related smoking cessation among urban pregnant women. Prevalence of nicotine dependence was also higher in rural than urban smokers overall (χ2(2) = 790.42, p < .0001) and among non-pregnant (χ2(2) = 790.58, p < .0001) and pregnant women examined separately (χ2(2) = 63.69, p < .0001), with no significant changes over time. Associations involving residence and pregnancy status remained significant in models adjusting for covariates (ps < 0.05). Results document greater prevalence of smoking and nicotine dependence and suggest less pregnancy-related quitting among rural compared to urban women, disparities that have potential for direct, multi-generational adverse health impacts.

This report describes results from a systematic literature review examining gender differences in U.S. prevalence rates of current use of tobacco and nicotine delivery products and how they intersect with other vulnerabilities to tobacco use. We searched PubMed on gender differences in tobacco use across the years 2004-2014. For inclusion, reports had to be in English, in a peer-reviewed journal or federal government report, report prevalence rates for current use of a tobacco product in males and females, and use a U.S. nationally representative sample. Prevalence rates were generally higher in males than in females across all products. This pattern remained stable despite changes over time in overall prevalence rates. Gender differences generally were robust when intersecting with other vulnerabilities, although decreases in the magnitude of gender differences were noted among younger and older users, and among educational levels and race/ethnic groups associated with the highest or lowest prevalence rates. Overall, these results document a pervasive association of gender with vulnerability to tobacco use that acts additively with other vulnerabilities. These vulnerabilities should be considered whenever formulating tobacco control and regulatory policies.

Objectives. To examine urban–rural differences in US prevalences of traditional and emerging tobacco product use as well as dual or polytobacco use of these products. Methods. Our data were derived from wave 1 (2013–2014) of the Population Assessment of Tobacco and Health (PATH) Study. We estimated weighted prevalences of adult tobacco use across urban–rural geographies and examined prevalences classified by gender, poverty level, and region of the country. Results. Nationally, cigarette use and smokeless tobacco use, as well as dual or polytobacco use of traditional products, were more prevalent in rural than in urban areas. Conversely, cigarillo and hookah use and dual or polytobacco use of emerging products were higher in urban areas. There was no significant urban–rural difference in use of e-cigarettes. Gender, poverty, and region of the country did not seem to be driving most urban–rural differences, although differences related to cigarillo use and dual or polytobacco use of emerging products became nonsignificant after control for covariates. Conclusions. Our findings highlight important urban–rural differences in tobacco use. Whether the changing tobacco product landscape will contribute to a continuation of rural health disparities remains to be seen.

Introduction Understanding patterns of single and multiple tobacco product use among reproductive-aged women is critical given the potential for adverse health effects on mother and infant should a woman become pregnant. Methods Patterns of tobacco use over a 2-year period were examined among all women (18–44 years) who completed wave 1 (W1) and wave 2 (W2) of the US Population Assessment of Tobacco and Health (PATH, 2013–2014, 2014–2015) Study. We examined the most common patterns of single and multiple tobacco product use in W1, and longitudinal trajectories of women engaged in each of these patterns of use from W1 to W2, among women not pregnant in either wave (n = 7480), not pregnant in W1 and pregnant in W2 (n = 332), and pregnant in W1 and not pregnant in W2 (n = 325). Results The most prevalent patterns of tobacco use in W1 among all three subgroups were using cigarettes alone followed by using cigarettes plus e-cigarettes. In all three subgroups, women using multiple products in W1 were more likely to adopt new use patterns in W2 relative to single-product users, with the new patterns generally involving dropping rather than adding products. The majority of multiple product use included cigarettes, and transitions to single product use typically involved dropping the noncigarette product. The most common trajectory among tobacco users transitioning to or from pregnancy was to use cigarettes alone in W2. Discussion This study contributes new knowledge characterizing tobacco use patterns across time and reproductive events among reproductive-aged women.

Rural areas of the United States have a higher smoking prevalence than urban areas. However, no recent studies have rigorously examined potential changes in this disparity over time or whether the disparity can be explained by demographic or psychosocial characteristics associated with smoking. The present study used yearly cross sectional data from the National Survey on Drug Use and Health from 2007 through 2014 to examine cigarette smoking trends in rural versus urban areas of the United States. The analytic sample included 303,311 respondents. Two regression models were built to examine (a) unadjusted rural and urban trends in prevalence of current smoking and (b) whether differences remained after adjusting for demographic and psychosocial characteristics. Results of the unadjusted model showed disparate and diverging cigarette use trends during the 8-year time period. The adjusted model also showed diverging trends, initially with no or small differences that became more pronounced across the 8-year period. We conclude that differences reported in earlier studies may be explained by differences in rural versus urban demographic and psychosocial risk factors, while more recent and growing disparities appear to be related to other factors. These emergent differences may be attributable to policy-level tobacco control and regulatory factors that disproportionately benefit urban areas such as enforcement of regulations around the sale and marketing of tobacco products and treatment availability. Strong federal policies and targeted or tailored interventions may be important to expanding tobacco control and regulatory benefits to vulnerable populations including rural Americans.

To examine whether an efficacious voucher-based incentives intervention for decreasing smoking during pregnancy and increasing fetal growth could be improved without increasing costs. The strategy was to redistribute the usual incentives so that higher values were available early in the quit attempt.118 pregnant smokers in greater Burlington, Vermont (studied December, 2006-June, 2012) were randomly assigned to the revised contingent voucher (RCV) or usual contingent voucher (CV) schedule of abstinence-contingent vouchers, or to a non-contingent voucher (NCV) control condition wherein vouchers were provided independent of smoking status. Smoking status was biochemically verified; serial sonographic estimates of fetal growth were obtained at gestational weeks 30-34.RCV and CV conditions increased point-prevalence abstinence above NCV levels at early (RCV: 40%, CV: 46%, NCV: 13%, p=.007) and late-pregnancy (RCV: 45%; CV: 36%; NCV, 18%; p=.04) assessments, but abstinence levels did not differ between the RCV and CV conditions. The RCV intervention did not increase fetal growth above control levels while the CV condition did so (p.05).This trial further supports the efficacy of CV for increasing antepartum abstinence and fetal growth, but other strategies (e.g., increasing overall incentive values) will be necessary to improve outcomes further.

Research in the general population of smokers indicates that across various measures of nicotine dependence, time to first cigarette (TTFC) is the strongest single-item predictor of quitting success. Whether those findings generalize to pregnant smokers is unclear. To investigate this matter, we compared TTFC with cigarettes per day (CPD) and the Heaviness of Smoking Index (HSI; Kozlowski, Porter, Orleans, Pope, & Heatherton, 1994) in predicting late-pregnancy abstinence among 289 pregnant women enrolled in 4 smoking-cessation trials assessing the efficacy of financial incentives. Logistic regression was used to compare predictors, with model fit measured using the c statistic (range = 0.5, poor prediction to 1.0, perfect prediction). In simple regressions, model fit was comparable across the 3 measures although strongest for CPD alone (c = 0.70, 0.68, 0.66 for CPD, HSI, and TTFC, respectively). In a stepwise multiple regression, treatment was entered first (c = 0.67), then CPD (c = 0.77), quit attempts prepregnancy (c = .81), TTFC (c = .82), and quit attempts during pregnancy (c = .83). We saw no evidence supporting TTFC as the optimal predictor of quitting among pregnant smokers. Instead, the evidence supported using CPD and TTFC together or CPD alone if using only a single predictor.

This report describes a systematic literature review of voucher and related monetary-based contingency management (CM) interventions for substance use disorders (SUDs) over 5.2 years (November 2009 through December 2014). Reports were identified using the search engine PubMed, expert consultations, and published bibliographies. For inclusion, reports had to (a) involve monetary-based CM; (b) appear in a peer-reviewed journal; (c) include an experimental comparison condition; (d) describe an original study; (e) assess efficacy using inferential statistics; (f) use a research design allowing treatment effects to be attributed to CM. Sixty-nine reports met inclusion criteria and were categorized into 7 research trends: (1) extending CM to special populations, (2) parametric studies, (3) extending CM to community clinics, (4) combining CM with pharmacotherapies, (5) incorporating technology into CM, (6) investigating longer-term outcomes, (7) using CM as a research tool. The vast majority (59/69, 86%) of studies reported significant (p < 0.05) during-treatment effects. Twenty-eight (28/59, 47%) of those studies included at least one follow-up visit after CM was discontinued, with eight (8/28, 29%) reporting significant (p < 0.05) effects. Average effect size (Cohen’s d) during treatment was 0.62 (95% CI: 0.54, 0.70) and post-treatment it was 0.26 (95% CI: 0.11, 0.41). Overall, the literature on voucher-based CM over the past 5 years documents sustained growth, high treatment efficacy, moderate to large effect sizes during treatment that weaken but remain evident following treatment termination, and breadth across a diverse set of SUDs, populations, and settings consistent with and extending results from prior reviews.

Previous studies have shown that altering motivation typically affects stimulus generalization in animals trained to discriminate exteroceptive stimuli, but few studies have evaluated the effects of manipulating motivation on drug stimuli. In the few published studies, motivation levels were manipulated by arranging different feeding conditions prior to stimulus generalization tests with rats trained to discriminate morphine from vehicle and in pigeons trained to discriminate phencyclidine or pentobarbital from vehicle. In the present study, rats maintained at 80% of free-feeding weights were trained to discriminate between injections of 1.0 mg/kg d -amphetamine and saline in a two-lever food-reinforced operant procedure. Generalization tests were then conducted with a range of d -amphetamine doses (0, 0.03, 0.1, and 0.3, 1.0 mg/kg) when the rats were not fed before experimental sessions (high motivation) and when they were pre-fed 1 g of food (moderate motivation) or their daily ration of food (low motivation) 1 h before test sessions. Changing the motivation level significantly affected response rate and latency to the first response in generalizations tests, but did not significantly affect mean percentage of drug-appropriate responding (a continuous measure) or percentage of animals that selected the drug-appropriate lever (a quantal measure). The present findings indicate that manipulating motivation for food minimally impacts d -amphetamine discrimination, however, the range of conditions used to examine the effects of motivating operations on stimulus control by d -amphetamine drugs and other drugs is limited and the topic may warrant further investigation.

The present research determined if articles describing attempts to improve the behavior of people with autism reported whether or not participants were receiving medication and, if so, whether an interaction between the intervention and the medication was mentioned. Fifty-one articles published from 2004 through 2008 were examined. Information regarding medication was provided in 18% of these articles, none of which mentioned an interaction. Very little is known regarding interactions between nonpharmacological interventions and psychotropic (or other) medications, but some studies demonstrate that interactions can occur. Given this possibility, and the fact that information regarding medications received by participants is easy to obtain and report, it appears worthwhile to include this information in published articles.

Introduction Individuals with a General Educational Development (GED) degree have the highest smoking prevalence of any education level, including high school dropouts without a GED. Yet little research has been reported providing a context for understanding the exception that the GED represents in the otherwise graded inverse relationship between educational attainment and smoking prevalence. We investigated whether the GED may be associated with a general riskier profile that includes but is not limited to increased smoking prevalence. Method Data were obtained from three years (2011–2013) of the National Survey on Drug Use and Health ([NSDUH], N = 55,940]). Prevalence of risky repertoire indicators (e.g., ever arrested, seldom/never wears a seatbelt), indicators of social instability (e.g., frequent relocations), and risky demographic characteristics (e.g., male gender) were compared among high school dropouts, GED holders, and high school graduates using Rao–Scott chi square goodness-of-fit tests and multiple logistic regression. Results Those with GEDs differed significantly between both high school dropouts and high school graduates across 19 of 27 (70.4%) risk indicators. Controlling for risky profile characteristics accounted for a significant but limited (25–30%) proportion of the variance in smoking prevalence across these three education levels. Conclusion GED holders exhibit a broad high-risk profile of which smoking is just one component. Future research evaluating additional risk indicators and mechanisms that may underpin this generalized risky repertoire are likely needed for a more complete understanding of GED's place in the important relationship between educational attainment and smoking prevalence.

INTRODUCTION The present study examines whether use of machine-estimated high-nicotine/tar-yield (full-flavor) cigarettes predicts greater risk of nicotine dependence after controlling for the influence of potential confounding factors in US nationally representative samples. METHODS Data were obtained from multiple years of the National Survey on Drug Use and Health (NSDUH). Nicotine dependence was measured by (1) the Nicotine Dependence Syndrome Scale and (2) latency to first cigarette after waking. Associations between use of high-nicotine/tar-yield cigarettes and risk for nicotine dependence were examined using multiple logistic regression. RESULTS The odds of nicotine dependence were reliably greater among users of high- compared to lower-nicotine/tar-yield cigarettes even after adjusting for sociodemographic and other smoking characteristics (Ps < .0001). This relationship was (1) generally graded across differing nicotine/tar-yield cigarettes, (2) discernible across two definitions of nicotine dependence and multiple NSDUH survey years, and (3) observed among adult and adolescent smokers. CONCLUSION Use of high-nicotine/tar-yield cigarettes is associated with increased odds of nicotine dependence, a relationship that has important tobacco regulatory implications. Whether the widespread marketing and availability of high-nicotine/tar-yield cigarettes is increasing risk of nicotine dependence among US smokers warrants further research. IMPLICATIONS This study adds additional empirical evidence to the relation of machine measured high-yield cigarettes and likelihood of nicotine dependence, and draws some implications in regards to regulation.

Introduction Individuals with lower socioeconomic status (SES) are at increased risk for cigarette smoking. Less research has been conducted characterizing the relationship between SES and risk of using of other tobacco products. The present study examined SES as a risk factor for smokeless tobacco (ST) use in a US nationally representative sample, utilizing data from the 2012 National Survey on Drug Use and Health. Methods Odds were generated for current cigarette smoking and ST use among adults (≥18 years) based on SES markers (educational attainment, income, blue-collar employment, and unemployment) after controlling for the influence of demographics and other substance dependence. Results Odds of current cigarette smoking increased as a graded, inverse function of educational attainment as well as lower income and being unemployed. Odds of current ST use also increased as a function of lower educational attainment, although not in the linear manner seen with cigarette smoking. Odds of ST use but not cigarette smoking also increased with blue-collar employment. In contrast to patterns seen with cigarette smoking, ST use did not change in relation to income or unemployment. Conclusions Markers of SES are significantly associated with odds of cigarette smoking and ST use, but which indicators are predictive and the shape of their relationship to use differs across the two tobacco products.

We investigated three potential predictors (educational attainment, prepregnancy smoking rate, and delay discounting [DD]) of spontaneous quitting among pregnant smokers. These predictors were examined alone and in combination with other potential predictors using study-intake assessments from controlled clinical trials examining the efficacy of financial incentives for smoking cessation and relapse prevention. Data from 349 pregnant women (231 continuing smokers and 118 spontaneous quitters) recruited from the greater Burlington, VT, area contributed to this secondary analysis, including psychiatric/sociodemographic characteristics, smoking characteristics, and performance on a computerized DD task. Educational attainment, smoking rate, and DD values were each significant predictors of spontaneous quitting in univariate analyses. A model examining those three predictors together retained educational attainment as a main effect and revealed a significant interaction of DD and smoking rate (i.e., DD was a significant predictor at lower but not higher smoking rates). A final model considering all potential predictors, included education, the interaction of DD and smoking rate, and five additional predictors (i.e., stress ratings, the belief that smoking during pregnancy will "greatly harm my baby," age of smoking initiation, marital status, and prior quit attempts during pregnancy). The study presented here contributes new knowledge on predictors of spontaneous quitting among pregnant smokers with substantive practical implications for reducing smoking during pregnancy.

Smoking prevalence is unevenly distributed in the U.S. population, with those with mental illness, other substance use disorders, and lower socioeconomic status being especially vulnerable. Less research has been conducted on the association between these same vulnerabilities and smokeless tobacco (ST) use. The present study examined cigarette and ST use among adolescents and adults who met diagnostic criteria for major depressive disorder in the National Survey on Drug Use and Health (NSDUH). Utilizing the most recent (2011) NSDUH, we compared odds for current cigarette smoking and ST use among adolescents and adults meeting criteria for past-year major depressive disorder to the general population, after adjusting for potential confounding influences of sociodemographic and other substance use characteristics. Analyses were conducted to examine sex as a moderator of the relation between major depressive disorder and tobacco use. Odds for current cigarette smoking among those classified with major depressive disorder were increased among adolescents (OR = 1.33, 95% CI [1.05, 1.69], p = .021) and adults (OR = 1.70, 95% CI [1.47, 1.97], p < .0005), and odds for current ST use did not differ among adolescents (OR = 0.90, 95% CI [0.54, 1.49], p = .678) and were lower among adults (OR = 0.68, 95% CI [0.51, 0.91], p = .010). Sex was not a significant moderator in adolescents or adults. Major depressive disorder is associated with increased risk for smoking but not ST use among adolescents and adults further demonstrating heterogeneity in predictors of vulnerability to use of different tobacco products.

Aims: Integration of behavioral health including substance use problems into primary care is an essential benefit that federally qualified health centers (FQHCs) will offer as part of the Affordable Care Act (ACA). This study explores FQHC primary care clinicians’ beliefs and behaviors in integrating drug use assessment and treatment into their practices with a screening, brief intervention and referral to treatment (SBIRT) protocol. Methods: We administered a 10-min questionnaire to 68 primary care clinicians of 5 FQHCs in Los Angeles. Results: Clinicians expressed limited confidence in their ability to deal with illicit drug use of their patients, scoring on average 3.31 on a five point Likert scale. Two-thirds reported assessing for drug use regularly ‘at every visit’ and/or ‘at annual visits’. Median response for how often they counsel regarding drug use (on a five point Likert Scale from ‘Never’ to ‘Always’), was 4 (‘Usually’). Regarding their perspectives on the best practical resource for addressing drug use in their clinics, 45.6% named primary care clinicians. A minority (29.4%) of clinicians had completed a clinical rotation dealing with substance use, and 27.2% reported that more than 10h of their trainingwas devoted to substance use problems. Having a substance use rotation was associated with greater confidence in SBIRT (p

Aims: Functional magnetic resonance imaging (fMRI) research has indicated the involvement of frontal network in cocaine addiction. Resting-state f MRI approaches have revealed reduced (Kelly, 2011;Munier, 2012) aswell as enhanced (Camchong, 2011) resting state functional connectivity (RSFC) in frontal network in cocaine users relative to control participants. Also, task fMRI research has identified the insula as an important region activated during cocaine craving (Bonson, 2002). We examined the relationship between resting state networks and measures of cocaine use [frequency, money spent per week; duration] in nontreatmentseeking, chronic cocaine smokers. Methods: Ten participants (39–53yrs; 6M;4F) abstinent from cocaine for 72h completed a resting state scan and an anatomical MPRAGE scan. Whole-brain Independent component analysis was performed on resting state fMRI data using FSL’sMELODIC program that identified brain networks representing RSFC of frontalparietal, dorsal-attention, and insula networks. FSL’s regression model then determined any correlations between the activity of these brain networks and cocaine use measures. Results: Activity in frontal-parietal and insula networks was positively correlated with all three outcomes: frequency of use, money spent/week and cocaine use duration. Medial frontal gyrus and inferior parietal lobule [a part of dorsal-attention network (DAN)] positively correlated with each measure. Thus, the increased activity in these brain regions was associated with increased cocaine use. Conclusions: To the best of our knowledge, this is the first study to demonstrate a relationship between RSFC in frontal and insula networks and measures of cocaine use in chronic cocaine smokers. Relationship between the DAN and cocaine use may suggest increased attentional bias to cocaine cues in the environment. As potential network level biomarkers of chronic cocaine use, these identified resting state networks may be usefully applied in treatment development. Financial support: Research supported byNIDAK01DA029047.