Combined smoking and alcohol cues: Effects on craving, drug-seeking, and consumption.

BACKGROUND: Alcohol and cigarettes are commonly used together, but little is known about their joint motivational impact. Cue reactivity studies have customarily examined alcohol and smoking cues in isolation, despite the potential for cues to elicit stronger motivational responses when combined. This study used a validated cue reactivity procedure (Choice Behavior Under Cued Conditions) systematically to disentangle the separate and joint effects of alcohol and cigarette cues on substance use motivation. METHODS: Participants were 110 adults (Mage  = 34.0, SD = 10.8) who consumed both cigarettes and alcohol. Participants completed 40 cue reactivity trials with four in vivo cue types: water, alcohol, cigarette, and combined cigarette and alcohol. Participants rated their craving prior to receiving opportunities to spend real money to gain access to the cues. Spending larger amounts of money increased the probability that the substance(s) would be available for consumption. When granted access, participants took one cigarette puff and/or sip of the beverage. A multimethod approach assessed three key motivational indices: craving, drug-seeking (spending, latency to access the cue), and consumption (puff duration, alcohol consumed). Effects of cue type and rates of substance use (cigarettes per day, drinks per day, relative frequency of co-use) were assessed using hierarchical linear models. RESULTS: Both alcohol and smoking cues enhanced cue-specific craving but not craving for the alternative substance. In a novel finding, combined cues elicited higher craving and greater spending than single-drug cues. All drug cues elicited greater spending than water cues, and spending was moderated by the relative frequency of co-use. CONCLUSIONS: We found that combined alcohol and cigarette cues provoke more powerful craving and drug-seeking responses and, therefore, may be more motivationally potent among individuals who use multiple substances.

Development and Validation of the Questionnaire of Vaping Craving.

Introduction: Craving may represent core motivational processes in tobacco dependence, but there is no psychometrically evaluated measure of craving for e-cigarettes (vaping craving). This research developed and validated a brief measure of vaping craving. Methods: The measure was evaluated in two studies. In Study 1, a 42-item questionnaire assessing a wide range of vaping craving content was administered to 209 current e-cigarette users. In Study 2, a 10-item questionnaire derived from Study 1 results was administered to 224 current e-cigarette users. Participants were recruited from Amazon's Mechanical Turk, an online labor market. Results: Principal factor analysis identified the strongest loading items (.815-.867) on the first extracted factor (77% of the factor variance) for inclusion in a 10-item Questionnaire of Vaping Craving (QVC). This item set, with an internal consistency (α) of .97, focused on desire and intent to vape, and anticipation of positive outcomes related to e-cigarette use. Confirmatory factor analysis revealed the items had strong factor loadings that were significantly predicted by the latent vaping craving construct (ps < .001). Higher vaping craving was significantly associated with the level of e-cigarette use, greater negative mood, and lower confidence in ability to quit vaping (ps < .01). Among participants who also smoked tobacco (87%), vaping craving was more strongly associated with e-cigarette dependence than tobacco dependence. Conclusions: The findings support the reliability and validity of the QVC and suggest it could be used in laboratory and clinical settings as a psychometrically sound measure of vaping craving. Implications: This study is the first reporting the development and validation of a brief, practical, multi-item measure to assess vaping craving. This psychometrically sound assessment for vaping craving could improve understanding of the nature of vaping craving, advance current tobacco cessation strategies, and increase users' ability to cope with craving.

Using mobile technology to influence alcohol-impaired driving risk perceptions and decisions.

OBJECTIVE: Despite significant individual and societal risk, alcohol-impaired driving (AID) remains prevalent in the United States. Our aim was to determine whether breathalyzer-cued warning messages administered via mobile devices in the natural drinking environment could influence real-world AID cognitions and behaviors. METHOD: One hundred twenty young adults (53% women; mean age = 24.7) completed 6 weeks of ecological momentary assessment (EMA) and provided breathalyzer samples using a BACtrack Mobile Pro linked to their mobile device. On mornings after drinking episodes, participants reported their driving activities from the previous evening (787 episodes). Participants were randomly assigned to receive warning messages if they reached a breath alcohol concentration (BrAC) ≥ .05, or no messages. Participants in the warnings condition reported their willingness to drive and perceived danger of driving at EMA prompts (1,541 reports). RESULTS: We observed a significant effect of condition, such that the association between cumulative AID engagement and driving after reaching a BrAC of .05 was dampened among individuals in the warnings condition, compared to those in the no warnings condition. Receiving a warning message was associated with increased momentary perceived danger of driving and decreased willingness to drive. CONCLUSIONS: We found that BrAC-cued warning messages reduced the probability of AID and willingness to drive while impaired, and increased the perceived danger of driving after drinking. These results serve as proof-of-concept for the use of mobile technology to deliver an adaptive just-in-time intervention to reduce the probability of AID. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Agreement between momentary and retrospective reports of cannabis use and alcohol use: Comparison of ecological momentary assessment and timeline followback indices.

OBJECTIVE: This study compares three methods of cannabis and of alcohol use assessment in a sample of regular cannabis users: (a) ecological momentary assessment (EMA) repeated momentary surveys aggregated to the daily level, (b) EMA morning reports (MR) where participants reported on their total use from the previous day, and (c) retrospective timeline followback (TLFB) interviews covering the same period of time as the EMA portion of the study. We assessed the overall correspondence between these methods in terms of cannabis and alcohol use occasions and also investigated predictors of agreement between methods. METHOD: Forty-nine individuals aged 18-50 (Mage = 24.49, 49% female, 84% White) who reported regular cannabis use completed a 14-day EMA study. At the end of the EMA period, participants returned to the laboratory to complete a TLFB (administered via computer) corresponding to the same dates of the EMA period. RESULTS: Daily aggregated EMA and TLFB reports showed a low to modest agreement for both alcohol and cannabis use. Overall, agreement between EMA and MR was better than agreement between EMA and TLFB, likely because less retrospection is required when only reporting on behavior from the previous day. Quantity and frequency of use differentially predicted agreement across reporting methods when assessing alcohol compared to cannabis. When reporting cannabis use, but not alcohol use, individuals who used more demonstrated higher agreement between EMA and TLFB. CONCLUSIONS: Results suggest that retrospective reporting methods assessing alcohol and cannabis should not be considered a direct "substitute" for momentary or daily assessments. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Alcohol demand as a predictor of drinking behavior in the natural environment.

BACKGROUND AND AIMS: Alcohol demand, a measure of alcohol's reinforcing value, is associated with greater alcohol consumption and alcohol-related problems. Although alcohol demand has primarily been evaluated as a 'trait-like', individual difference measure, recent evidence indicates that demand exhibits meaningful short-term fluctuations. We aimed to determine whether moment-to-moment fluctuations in alcohol demand in individuals' natural drinking environments predicted drinking occurrence, drinking continuation, and drinking quantity. DESIGN: Observational study. SETTING: Individuals' natural drinking environments in Columbia, Missouri, USA. PARTICIPANTS: Eighty-nine young adults (56% female; mean age = 24.8) participated from November 2018 to October 2020. Participants reported 14.5 drinking days [standard deviation (SD = 8.1)] and 4.1 drinks per occasion (SD = 2.5) during ecological momentary assessment (EMA). MEASUREMENTS: Participants completed the alcohol purchase task at baseline. Following this, participants reported on their alcohol demand (breakpoint, Omax , intensity) and drinking behavior during EMA at daily, timed prompts from 6 p.m. to 2 a.m. They provided breathalyzer samples using a BACtrack Mobile® Pro. Models tested concurrent and prospective (lagged) associations between alcohol demand and drinking occurrence and drinking continuation after drinking initiation. Additional models tested concurrent associations between demand and breath alcohol concentrations (BrACs). FINDINGS: Higher alcohol demand was associated with higher odds of drinking and continued drinking for all demand indices at the momentary [odds ratio (OR) = 1.27-1.56, ps ≤ 0.03] and day-level (OR = 2.14-3.39, ps < 0.001). Additionally, lagged demand predicted higher odds of drinking occurrence and continuation at the following prompt (OR = 1.32-1.53, ps ≤ 0.004). Higher alcohol demand was associated with higher BrACs at the momentary (bs = 0.0011-0.0026, ps ≤ 0.03) and day-level (bs = 0.0053-0.0062, ps < 0.001). At the person-level, findings varied depending on the demand measure. CONCLUSIONS: Alcohol demand appears to be associated with both when and how much individuals drink in their natural drinking environments. Elevations in alcohol demand appear to be associated with increased likelihood of drinking and continuing to drink, and greater total alcohol consumption, both within and across drinking days.

Craving, stimulation, and sedation as predictors of alcohol demand under intoxication.

Objective: Alcohol demand has been evaluated predominately as a trait-like construct, reflecting individual differences in alcohol's reinforcement value. Increases in state-dependent alcohol demand under intoxication have been demonstrated, indicating a potential mechanism that may influence drinking behavior. This study evaluated the roles of craving and subjective alcohol response (stimulation, sedation) in this process, testing whether increases in craving and stimulation, and reductions in sedation, predicted increased alcohol demand during a laboratory-based drinking episode. Method: Young adults (N = 90; 53% male; M age = 22.2) attended two sessions in a within-subjects alcohol/placebo design. Craving, stimulation, sedation, and alcohol demand (breakpoint, Omax, intensity) were assessed once before beverage consumption and at multiple points afterward at varying blood alcohol concentrations (M peak BrAC = 0.102 g%). Multilevel models tested associations between momentary and between-person predictors (craving, stimulation, sedation) and alcohol demand after accounting for sex, time trends, and baseline covariates. Results: When intoxicated, participants reported higher alcohol demand across the majority of the ascending limb and decreasing demand across the descending limb. Participants reported increased demand at moments when experiencing higher craving, ps ≤ .001, and stimulation, with momentary stimulation incrementally predicting demand above craving, ps ≤ .04. Between-persons, higher alcohol-induced craving was associated with increased demand, ps ≤ .001, whereas between-person stimulation and sedation were less robustly associated with demand indicators. Conclusions: Results indicate that within-person craving and stimulation during intoxication are independently associated with changes in alcohol's reinforcing value. Findings suggest the potential for state-dependent alcohol demand to serve as an additional motivational index of processes underlying ongoing drinking behavior. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions.

OBJECTIVE: Approximately 28 million individuals engage in alcohol-impaired driving (AID) every year. This study investigated individuals' AID decision making strategies under intoxication, their variability across the breath alcohol concentration (BrAC) curve, and the association between strategy and AID attitudes, intentions, and behavior. METHOD: Seventy-nine adults (mean 23.9 years, 57% female) who drank alcohol ≥2 days per week and lived >2 miles away from their typical drinking locations completed an alcohol administration protocol and AID decision making task. AID attitudes, intentions, and behaviors were assessed repeatedly across the BrAC curve. Bayesian cognitive modeling identified decision strategies used by individuals on the AID decision making task, revealing whether alcohol consumption level and/or ride service cost factored into individuals' decisions to drive while impaired or obtain a ride. Additional analyses tested whether AID attitudes and intentions were related to individuals' decision strategies. RESULTS: Two decision strategies were examined on the ascending and descending limbs of the BrAC curve: compensatory (both consumption level and ride service cost factored into AID decisions) and non-compensatory (only consumption level factored into AID decisions). Switching to a compensatory strategy on the descending limb was associated with lower perceived intoxication, perceiving AID as less dangerous, and being willing to drive above the legal BrAC limit. CONCLUSIONS: Results suggest that risk for engaging in AID is higher for those using a cost-sensitive, compensatory strategy when making AID decisions under intoxication. Future research is needed to test whether AID countermeasures (e.g., subsidized ride services) are differentially effective according to decision strategy type. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Momentary subjective responses to alcohol as predictors of continuing to drink during daily-life drinking episodes.

PURPOSE: Subjective response to alcohol's stimulating and sedating effects is a person-level risk factor for heavy drinking and alcohol use disorder. Longitudinal and laboratory studies have demonstrated that at-risk individuals experience greater stimulation and lower sedation while drinking. While between-person subjective responses inform risk and etiology, in-the-moment assessments during daily-life drinking may elucidate the within-person processes by which stimulation and sedation may lead to heavier drinking. We aimed to characterize these momentary processes by testing momentary stimulation and sedation during drinking as predictors of subsequently continuing to drink during densely sampled, daily-life drinking episodes. PROCEDURES: 113 adults (54 with borderline personality disorder and 59 community participants; 77.9% female) completed ecological momentary assessment for 21 days, reporting momentary subjective stimulation and sedation throughout drinking episodes and momentary alcohol use after drink initiation (i.e., continued drinking). FINDINGS: GLMMs demonstrated that greater day-level stimulation (OR=1.48, 95% CI=[1.20, 1.82], p<.001), greater person-level stimulation (OR=1.63, 95% CI=[1.05, 2.53], p=.031), and lower momentary sedation (OR=0.54, 95% CI=[0.41, 0.71], p<.001) predicted continued drinking. CONCLUSIONS: Although greater stimulation and lower sedation have been conceptualized as individual-level risk factors for heavy drinking, our findings suggest that these associations are accompanied by processes that operate within person. Our results suggest that greater stimulation may confer risk for heavy drinking at the level of the drinking episode, possibly acting as positive reinforcement that may contribute to heavier drinking during future episodes. In contrast, lower sedation may primarily confer in-the-moment risk by contributing to momentary decisions to keep drinking within an episode.

Comparing associations between mood and breath alcohol concentration in the laboratory and natural environment.

OBJECTIVE: Associations between mood and drinking are part of many theoretical models of problematic alcohol use. Laboratory and ecological momentary assessment (EMA) research on associations between mood and drinking behavior has produced mixed findings, and these constructs are often measured using different methods depending on research context. The present study compares associations between mood and alcohol consumption across research contexts (laboratory vs. daily life) and measurement methods (breathalyzer vs. self-report). METHOD: Forty-five young adults (53% women, Mage = 24.5) who drank moderate-to-heavy amounts completed an alcohol administration session and then 6 weeks of EMA with ambulatory breathalyzer samples. Participants reported their current mood (happy, nervous, upset, and excited) in both the laboratory and during EMA. Momentary, day, and person-level mood variables were examined in multilevel models predicting objective alcohol consumption [breath alcohol concentration (BrAC); lab and EMA] and subjective consumption (self-reported drinking occurrence and number of drinks; EMA). RESULTS: We identified discrepant mood-BrAC associations across laboratory and EMA contexts. Momentary excitement was negatively associated with BrAC in the lab, but positively associated with BrAC during EMA (ps < .01). We also identified discrepancies within EMA depending on the alcohol consumption measure used (BrAC or self-reported number of drinks) and the level of analysis (momentary or day). CONCLUSIONS: Studies testing theoretical models involving directional mood-alcohol associations (e.g., affective reinforcement models) need to carefully consider how research context and methods may influence findings of associations between mood and drinking. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Behavioral response bias and event-related brain potentials implicate elevated incentive salience attribution to alcohol cues in emerging adults with lower sensitivity to alcohol.

AIMS: This study used a behavioral approach-avoidance task including images of alcoholic beverages to test whether low sensitivity to alcohol (LS) is a phenotypical marker of a dispositional propensity to attribute bottom-up incentive value to naturally conditioned alcohol cues. DESIGN, SETTING AND PARTICIPANTS: Experimental study with a measured individual difference variable at a university psychology laboratory in Missouri, MO, USA. Participants were 178 emerging adults (aged 18-20 years) varying in self-reported sensitivity to alcohol's acute effects. MEASUREMENTS: Participants completed the alcohol approach-avoidance task while behavior (response time; RT) and the electroencephalogram (EEG) were recorded. Stimulus-locked event-related potentials (ERPs) provided indices of integrated (top-down and bottom-up) stimulus incentive value (P3 amplitude) and conflict between top-down task demands and bottom-up response propensities (N450 amplitude). FINDINGS: Linear mixed models showed faster RT for 'alcohol-approach' relative to 'alcohol-avoid' trials for lower-sensitivity (LS) [meanD ± standard errorD (MD ± SED ) = 29.51 ± 9.74 ms, t(328) = 3.03, P = 0.003] but not higher-sensitivity (HS) individuals (MD ± SED = 2.27 ± 9.33 ms, t(328) = 0.243, P = 0.808). There was enhanced N450 amplitude (response conflict) for alcohol-avoid relative to alcohol-approach trials for LS participants (MD ± SED = 0.811 ± 0.198 µV, Z = 4.108, P < 0.001) and enhanced N450 amplitude for alcohol-approach relative to alcohol-avoid for HS participants (MD ± SED = 0.419 ± 0.188 µV, Z = 2.235, P = 0.025). There was also enhanced P3 amplitude for alcohol-approach relative to alcohol-avoid for LS (MD ± SED = 0.825 ± 0.204 µV, Z = 4.045, P < 0.001) but not HS (MD ± SED = 0.013 ± 0.194 µV, Z = 0.068, P = 0.946). CONCLUSIONS: Findings from a human laboratory study appear to support the notion that low sensitivity to alcohol indexes a propensity to attribute bottom-up incentive value to naturally conditioned alcohol cues.

Simultaneous use of alcohol and cigarettes in a mixed psychiatric sample: Daily-life associations with smoking motives, craving, stimulation, sedation, and affect.

Co-use of alcohol and cigarettes is common and associated with greater negative consequences compared to use of either substance alone. Furthermore, alcohol and cigarettes are often used at the same time, and these "simultaneous" use events are associated with greater consumption of each substance. Given the prevalence and negative consequences associated with this pattern, we sought to identify proximal predictors and reinforcers of simultaneous use in individuals with a range of emotional and behavioral dysregulation who may be at greater risk of experiencing substance-related problems. Specifically, 41 adults who drank alcohol and smoked cigarettes (28 with borderline personality disorder and 13 community individuals) completed 21 days of ecological momentary assessment (EMA). First, we used multilevel models on cigarette-use moments to examine whether momentary cigarette motive endorsement differed based on whether participants were also drinking alcohol in that moment. Second, we used multilevel models on all EMA moments to examine whether simultaneous use was associated with greater craving and reinforcing effects compared to use of either substance alone. Participants reported greater enhancement and social motives for smoking cigarettes when also drinking alcohol compared to when they were only smoking. Participants also reported greater alcohol craving, greater sedation, attenuated positive affect, and greater fear following simultaneous use compared to use of either substance alone. Our results add to a growing body of research characterizing proximal influences on simultaneous substance use. Findings highlight potential treatment targets for individuals seeking to better understand or cut down on their use of alcohol, cigarettes, or both. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Analyzing Impact of Mouthpiece-based Puff Topography Devices on Smoking Behavior using Wearable Sensors.

Detailed assessment of smoking topography (puffing and post-puffing metrics) can lead to a better understanding of factors that influence tobacco use. Research suggests that portable mouthpiece-based devices used for puff topography measurement may alter natural smoking behavior. This paper evaluated the impact of a portable puff topography device (CReSS Pocket) on puffing & post-puffing topography using a wearable system, the Personal Automatic Cigarette Tracker v2 (PACT 2.0) as a reference measurement. Data from 45 smokers who smoked one cigarette in the lab and an unrestricted number of cigarettes under free-living conditions over 4 consecutive days were used for analysis. PACT 2.0 was worn on all four days. A puff topography instrument (CReSS pocket) was used for cigarette smoking on two random days during the four days of study in the laboratory and free-living conditions. Smoke inhalations were automatically detected using PACT2.0 signals. Respiratory smoke exposure metrics (i.e., puff count, duration of cigarette, puff duration, inhale-exhale duration, inhale-exhale volume, volume over time, smoke hold duration, inter-puff interval) were computed for each puff/smoke inhalation. Analysis comparing respiratory smoke exposure metrics during CReSS days and days without CReSS revealed a significant difference in puff duration, inhale-exhale duration and volume, smoke hold duration, inter-puff interval, and volume over time. However, the number of cigarettes per day and number of puffs per cigarette were statistically the same irrespective of the use of the CReSS device. The results suggested that the use of mouthpiece-based puff topography devices may influence measures of smoking topography with corresponding changes in smoking behavior and smoke exposure.

Event-Level Predictors of Alcohol-Impaired Driving Intentions.

OBJECTIVE: Alcohol-impaired driving is a significant public safety concern and is highly prevalent among young adults. Considerable research has examined between-person predictors of alcohol-impaired driving, but there has been little research on factors that predict alcohol-impaired driving at the event level. This pilot/feasibility study was designed to identify within-person, event-level predictors of alcohol-impaired driving intentions in the natural environment using an ecological momentary assessment (EMA) design. METHOD: Thirty-six young adult, moderate drinkers (M age = 22.9 years; 72.2% female; M drinks per occasion = 3.2) were recruited from a university area to complete 2 weeks of EMA. They reported on their subjective levels of intoxication, perceived dangerousness of driving, and driving intentions during real-world drinking episodes. Breath alcohol concentrations were collected with a portable breath alcohol analyzer. RESULTS: Event-level perceived danger and subjective intoxication most strongly predicted intentions to drive after drinking, such that higher perceived danger and intoxication predicted lower willingness to drive, after adjusting for baseline alcohol-impaired driving attitudes (ps < .001). When we accounted for perceived danger during drinking episodes at the event and person level, baseline attitudes were no longer predictive of willingness to drive. Higher event-level breath alcohol concentration also predicted lower willingness to drive (p = .003). CONCLUSIONS: This study is the first to demonstrate that event-level risks of alcohol-impaired driving can be collected during drinking episodes in the natural environment. Findings indicate that subjective perceptions of intoxication and risk more strongly predict alcohol-impaired driving intentions than objective intoxication. Findings also suggest that event-level perceptions of intoxication and driving risk may be fruitful targets for interventions to reduce alcohol-impaired driving.

Context, acute tolerance, and subjective response affect alcohol-impaired driving decisions.

RATIONALE: Alcohol intoxication produces effects that can impair judgment and increase engagement in risky behaviors, including alcohol-impaired driving (AID). Real-world AID decisions are informed by contextual circumstances and judgments of associated risk. How individuals vary in their AID decision-making across contexts and whether subjective alcohol responses (stimulation, sedation, acute tolerance) differentially affect AID decisions are critical, but under-studied research questions. OBJECTIVES: We systematically investigated predictors of AID decisions at different hypothetical driving distances across the blood alcohol concentration (BAC) curve. METHODS: Young adults (n = 40; 55% female) completed two laboratory sessions in a within-subjects alcohol/placebo design. At multiple points along the BAC curve (M peak BAC = 0.101 g%), participants rated their subjective intoxication, stimulation, sedation, and perceived dangerousness of driving prior to indicating their willingness to drive distances of 1, 3, and 10 miles. Multilevel mixed models assessed within- and between-person predictors of the maximum distance participants were willing to drive at matched BACs on the ascending and descending limb. RESULTS: Under intoxication (but not placebo), participants were willing to drive greater distances on the descending versus ascending limb. At the momentary level, participants were willing to drive further when they felt less intoxicated, stimulated, and sedated, and perceived driving as less dangerous. CONCLUSIONS: Individuals differed in the distance they were willing to drive as a function of indicators of intoxication, implicating driving distance as an important contextual factor relevant to AID decisions. Individuals may simultaneously perceive themselves as "unsafe" to drive, but "safe enough" to drive short distances, particularly when BAC is falling.

Momentary changes in craving predict smoking lapse behavior: a laboratory study.

RATIONALE: Current research on factors that predict smoking lapse behavior is limited in its ability to fully characterize the critical moments leading up to decisions to smoke. OBJECTIVES: We used a validated and widely used experimental analogue for smoking lapse to assess how moment-to-moment dynamics of craving relate to decisions to smoke. METHODS: Heavy smokers (N = 128, M age = 35.9) participated in a 50-min laboratory delay to smoking task on 2 consecutive days, earning money for each 5 min they remained abstinent or ending the task by choosing to smoke. Participants rated craving and negative affect levels immediately prior to each choice. Participants were randomized to smoking as usual (n = 50) or overnight abstinence (n = 50 successfully abstained, n = 22 failed abstaining) prior to session 2. Discrete-time hazard models were used to examine craving and negative affect as time-varying predictors of smoking. RESULTS: Higher craving levels prior to smoking opportunities predicted increased risk of smoking. When controlling for craving levels, incremental increases in craving predicted increased smoking risk. Increases in negative affect incrementally predicted increased smoking risk at session 2 only. Smokers who failed to abstain were at a higher risk of smoking than those who successfully abstained, whereas abstinent and non-abstinent smokers did not differ in smoking risk. CONCLUSIONS: Findings demonstrate an extension of the smoking lapse paradigm that can be utilized to capture momentary changes in craving that predict smoking behavior. Evaluations of nuanced craving experiences may inform clinical and pharmacological research on preventing smoking lapse and relapse.

Alcohol's effects on emotionally motivated attention, defensive reactivity and subjective anxiety during uncertain threats.

Developing a better understanding of how and under what circumstances alcohol affects the emotions, cognitions and neural functions that precede and contribute to dangerous behaviors during intoxication may help to reduce their occurrence. Alcohol intoxication has recently been shown to reduce defensive reactivity and anxiety more during uncertain vs certain threat. However, alcohol's effects on emotionally motivated attention to these threats are unknown. Alcohol may disrupt both affective response to and attentional processing of uncertain threats making intoxicated individuals less able to avoid dangerous and costly behaviors. To test this possibility, we examined the effects of a broad range of blood alcohol concentrations on 96 participants' sub-cortically mediated defensive reactivity (startle potentiation), retrospective subjective anxiety (self-report) and cortically assessed emotionally motivated attention (probe P3 event related potential) while they experienced visually cued uncertain and certain location electric shock threat. As predicted, alcohol decreased defensive reactivity and subjective anxiety more during uncertain vs certain threat. In a novel finding, alcohol dampened emotionally motivated attention during uncertain but not certain threat. This effect appeared independent of alcohol's effects on defensive reactivity and subjective anxiety. These results suggest that alcohol intoxication dampens processing of uncertain threats while leaving processing of certain threats intact.

Cognitive regulation of smoking behavior within a cigarette: Automatic and nonautomatic processes.

There has been limited research on cognitive processes governing smoking behavior in individuals who are tobacco dependent. In a replication (Baxter & Hinson, 2001) and extension, this study examined the theory (Tiffany, 1990) that drug use may be controlled by automatic processes that develop over repeated use. Heavy and occasional cigarette smokers completed a button-press reaction time (RT) task while concurrently smoking a cigarette, pretending to smoke a lit cigarette, or not smoking. Slowed RT during the button-press task indexed the cognitive disruption associated with nonautomatic control of behavior. Occasional smokers' RTs were slowed when smoking or pretending to smoke compared with when not smoking. Heavy smokers' RTs were slowed when pretending to smoke versus not smoking; however, their RTs were similarly fast when smoking compared with not smoking. The results indicated that smoking behavior was more highly regulated by controlled, nonautomatic processes among occasional smokers and by automatic processes among heavy smokers. Patterns of RT across the interpuff interval indicated that occasional smokers were significantly slowed in anticipation of and immediately after puffing onset, whereas heavy smokers were only slowed significantly after puffing onset. These findings suggest that the entirety of the smoking sequence becomes automatized, with the behaviors leading up to puffing becoming more strongly regulated by automatic processes with experience. These results have relevance to theories on the cognitive regulation of cigarette smoking and support the importance of interventions that focus on routinized behaviors that individuals engage in during and leading up to drug use. (PsycINFO Database Record

Selection criteria limit generalizability of smoking pharmacotherapy studies differentially across clinical trials and laboratory studies: A systematic review on varenicline.

BACKGROUND: The selection criteria used in clinical trials for smoking cessation and in laboratory studies that seek to understand mechanisms responsible for treatment outcomes may limit their generalizability to one another and to the general population. METHODS: We reviewed studies on varenicline versus placebo and compared eligibility criteria and participant characteristics of clinical trials (N=23) and laboratory studies (N=22) across study type and to nationally representative survey data on adult, daily USA smokers (2014 National Health Interview Survey; 2014 National Survey on Drug Use and Health). RESULTS: Relative to laboratory studies, clinical trials more commonly reported excluding smokers who were unmotivated to quit and for specific medical conditions (e.g., cardiovascular disease, COPD), although both study types frequently reported excluding for general medical or psychiatric reasons. Laboratory versus clinical samples smoked less, had lower nicotine dependence, were younger, and more homogeneous with respect to smoking level and nicotine dependence. Application of common eligibility criteria to national survey data resulted in considerable elimination of the daily-smoking population for both clinical trials (≥47%) and laboratory studies (≥39%). Relative to the target population, studies in this review recruited participants who smoked considerably more and had a later smoking onset age, and were under-representative of Caucasians. CONCLUSIONS: Results suggest that selection criteria of varenicline studies limit generalizability in meaningful ways, and differences in criteria across study type may undermine efforts at translational research. Recommendations for improvements in participant selection and reporting standards are discussed.

The relationship between craving and tobacco use behavior in laboratory studies: a meta-analysis.

Published laboratory studies from the last 50 years that included measures of craving and tobacco-consumption or tobacco-seeking measures were included in a meta-analysis in order to assess the relationship between craving and tobacco use. Seeking measures were further subdivided into those that reflected control by nonautomatic and automatic cognitive processes. Of 2,498 articles identified by the initial literature review, 204 analyses from 50 studies were deemed eligible. Overall, the relationship between craving and outcome behaviors was modest (r = .20, p < .001). Studies that imposed abstinence during data collection showed a stronger relationship between craving and outcome (r = .24, p < .001) than studies that did not (r = .18, p < .001). Further, of those studies that reported dependence, the overall association between craving and outcome was stronger for smokers who were less dependent. Separate meta-analyses revealed that the type of outcome measure moderated the omnibus effect, with the relationship between craving and nonautomatic seeking measures (r = .34, p < .001) being stronger than the relationship between craving and automatic seeking/consumption measures (both rs = 0.15, p < .001). These findings suggest that craving may play a role in, but does not fully account for, tobacco-use behaviors; furthermore, the extent to which craving predicts behavior may be increased when the behavior is under nonautomatic cognitive control.