Perceived reward from using cigarettes with alcohol or cannabis and concurrent use: A smartphone-based daily diary study

Quantity of cigarettes smoked when co-used with alcohol and cannabis: Consideration of different definitions of co-use based on daily diary data

INTRODUCTION

Cigarettes are frequently co-used with alcohol and cannabis. However, definitions of co-use vary and the extent to which cigarette use changes on days with different patterns of co-use is unclear. We compared the number of cigarettes smoked on different days based on co-use patterns of cigarettes and alcohol or cannabis.

METHODS

This study analyzed 2408 smoking days collected in a 30-day smartphone-based daily diary study among 146 young adults (aged 18-26) with an oversample from sexual minority groups. Two separate multilevel models were estimated: one for cigarette and alcohol co-use and the other for cigarette and cannabis co-use. Both models examined day-level associations between the number of cigarettes smoked and 3 different types of days (smoking-only days, same-occasion co-use days, different-occasion co-use days), controlling for demographic characteristics.

RESULTS

More cigarettes were smoked on same-occasion co-use days compared to cigarette-smoking-only days for both alcohol (b=1.474, SE=0.136, t=10.8, p<.001) and cannabis (b=0.822, SE=0.209, t=3.9, p<.001). There were no significant differences in cigarettes smoked on days with co-use on the same day, but on different occasions, compared to days with smoking only.

CONCLUSIONS

Compared to days with cigarette smoking only, more cigarettes are smoked on days when cigarettes are co-used with alcohol or cannabis on the same occasion, while the same is not true for days with co-use on different occasions. Conflating different definitions of co-use may impact findings on associations between co-use and smoking behavior.

Tobacco, Alcohol, and Drug Use Among Young Adults with Serious Mental Illness

To inform early intervention, this study describes correlates of substance use among young people with serious mental illness (SMI) enrolled in integrated care in community mental health settings. 227 adults ages 18-35 were assessed for clinical characteristics and substance use. Logistic regressions were used to describe relationships between substance use and participant characteristics. Over a third (38.9%) reported daily cannabis, 15.9% past month other illicit drug, 13.5% frequent/heavy alcohol and 47.4% any of these; 50.2% reported daily tobacco smoking and 23.3% current vaping. Daily cannabis and tobacco were the most common combination. Alcohol, drug, and cannabis with tobacco were associated with higher mental health symptoms but not with emergency room or hospital utilization. Cannabis and other substance use was common and associated with higher symptoms but not with greater hospital utilization, suggesting that early intervention could prevent long-term negative consequences.

Temporal associations linking alcohol and cannabis use to cigarette smoking in young adults engaged in a tobacco cessation and relapse monitoring study

Young adulthood remains a developmental period in which cigarette smoking initiation and progression to dependence and regular use is common. Moreover, co-use of alcohol and/or cannabis with tobacco is common in this age group and may have detrimental effects on tobacco use rates and cessation outcomes. Although young adults are interested in quitting smoking, achieving abstinence remains difficult, even with evidence-based treatment strategies. Understanding proximal associations between other substance use (e.g., alcohol and cannabis) and smoking may have important treatment implications. This exploratory analysis investigated the role of alcohol and/or cannabis use in contributing to smoking events on the same day or next day among young adults engaged in a smoking cessation and relapse monitoring study. We used ecological momentary assessment (EMA) data from 43 young adults (ages 18-25; 932 observations) who smoked cigarettes daily and agreed to participate in a 5-week study that included a 2-day smoking quit attempt and provision of tobacco treatment in the form of nicotine replacement therapy, brief cessation counseling, and financial incentives for abstinence (incentives were provided only during the 2-day quit attempt). We tested multilevel time-series models of daily associations between alcohol use, cannabis use, and smoking. Consistent with hypotheses, days on which participants were more likely to drink alcohol predicted increased likelihood of smoking the next day (OR = 2.27, p =.003). This effect was significant after controlling for both the one-day lagged effect of smoking (i.e., autoregression) and the concurrent (i.e., same day) effects of drinking and cannabis use. Although there was a positive concurrent effect of cannabis use on smoking (OR = 12.86, p =.003), the one-day lagged effect of cannabis use and the concurrent effect of drinking was not significant, contrary to hypotheses. Results indicate that alcohol use presents a potential threat to successful smoking cessation that extends to the following day. This suggests a risk-window in which treatment could be supplemented with just-in-time interventions and extending the focus on co-use to include this lagged impact on cessation outcomes.

Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case Study

BACKGROUND

Interest in quitting smoking is common among young adults who smoke, but it can prove challenging. Although evidence-based smoking cessation interventions exist and are effective, a lack of access to these interventions specifically designed for young adults remains a major barrier for this population to successfully quit smoking. Therefore, researchers have begun to develop modern, smartphone-based interventions to deliver smoking cessation messages at the appropriate place and time for an individual. A promising approach is the delivery of interventions using geofences-spatial buffers around high-risk locations for smoking that trigger intervention messages when an individual's phone enters the perimeter. Despite growth in personalized and ubiquitous smoking cessation interventions, few studies have incorporated spatial methods to optimize intervention delivery using place and time information.

OBJECTIVE

This study demonstrates an exploratory method of generating person-specific geofences around high-risk areas for smoking by presenting 4 case studies using a combination of self-reported smartphone-based surveys and passively tracked location data. The study also examines which geofence construction method could inform a subsequent study design that will automate the process of deploying coping messages when young adults enter geofence boundaries.

METHODS

Data came from an ecological momentary assessment study with young adult smokers conducted from 2016 to 2017 in the San Francisco Bay area. Participants reported smoking and nonsmoking events through a smartphone app for 30 days, and GPS data was recorded by the app. We sampled 4 cases along ecological momentary assessment compliance quartiles and constructed person-specific geofences around locations with self-reported smoking events for each 3-hour time interval using zones with normalized mean kernel density estimates exceeding 0.7. We assessed the percentage of smoking events captured within geofences constructed for 3 types of zones (census blocks, 500 ft2 fishnet grids, and 1000 ft2 fishnet grids). Descriptive comparisons were made across the 4 cases to better understand the strengths and limitations of each geofence construction method.

RESULTS

The number of reported past 30-day smoking events ranged from 12 to 177 for the 4 cases. Each 3-hour geofence for 3 of the 4 cases captured over 50% of smoking events. The 1000 ft2 fishnet grid captured the highest percentage of smoking events compared to census blocks across the 4 cases. Across 3-hour periods except for 3:00 AM-5:59 AM for 1 case, geofences contained an average of 36.4%-100% of smoking events. Findings showed that fishnet grid geofences may capture more smoking events compared to census blocks.

CONCLUSIONS

Our findings suggest that this geofence construction method can identify high-risk smoking situations by time and place and has potential for generating individually tailored geofences for smoking cessation intervention delivery. In a subsequent smartphone-based smoking cessation intervention study, we plan to use fishnet grid geofences to inform the delivery of intervention messages.

Ecological Momentary Assessment of Heavy Episodic Drinking in the Early Postpartum Period: A Feasibility Study

Background

Postpartum mothers are at heightened risk for heavy episodic drinking (HED). Research with this population is critical to developing acceptable and effective tailored interventions, but new mothers who use alcohol are often reluctant to engage in research due to stigma and fear of child removal. This study examined feasibility of recruitment and ecological momentary assessment (EMA) in early postpartum mothers with histories of HED.

Methods

Participants were recruited via Facebook and Reddit and completed 14 days of EMA surveys. Baseline characteristics, recruitment feasibility, and EMA feasibility and acceptability were examined. Participants attended focus groups to further inform quantitative data.

Results

Reddit yielded a larger proportion of eligible individuals than Facebook, and 86% of the final enroled sample was recruited via Reddit. The average compliance rate of 75% is in line with other studies of similar populations. Half the sample reported alcohol use, and 78% reported the urge to drink at least once, supporting feasibility of EMA for collecting alcohol use data. Participants reported low burden and high acceptability of the study on both quantitative and qualitative measures. Baseline low maternal self-efficacy was associated with greater EMA compliance, and first-time mothers reported lower EMA burden compared to veteran mothers. College graduates, and participants with lower drinking refusal self-efficacy and greater alcohol severity were more likely to report alcohol use on EMA.

Conclusions

Future studies should consider Reddit as a recruitment strategy. Findings generally support feasibility and acceptability of EMA to assess HED in postpartum mothers.

Associations Between Product Type and Intensity of Tobacco and Cannabis Co-use on the Same Day Among Young Adult Smokers: Smartphone-Based Daily-Diary Study

BACKGROUND

Co-use of tobacco and cannabis is highly prevalent among young US adults. Same-day co-use of tobacco and cannabis (ie, use of both substances on the same day) may increase the extent of use and negative health consequences among young adults. However, much remains unknown about same-day co-use of tobacco and cannabis, in part due to challenges in measuring this complex behavior. Nuanced understanding of tobacco and cannabis co-use in terms of specific products and intensity (ie, quantity of tobacco and cannabis use within a day) is critical to inform prevention and intervention efforts.

OBJECTIVE

We used a daily-diary data collection method via smartphone to capture occurrence of tobacco and cannabis co-use within a day. We examined (1) whether the same route of administration would facilitate co-use of 2 substances on the same day and (2) whether participants would use more tobacco on a day when they use more cannabis.

METHODS

This smartphone-based study collected 2891 daily assessments from 147 cigarette smokers (aged 18-26 years, n=76, 51.7% female) during 30 consecutive days. Daily assessments measured type (ie, cigarette, cigarillo, or e-cigarette) and intensity (ie, number of cigarettes or cigarillos smoked or number of times vaping e-cigarettes per day) of tobacco use and type (ie, combustible, vaporized, or edible) and intensity (ie, number of times used per day) of cannabis use. We estimated multilevel models to examine day-level associations between types of cannabis use and each type of tobacco use, as well as day-level associations between intensities of using cannabis and tobacco. All models controlled for demographic covariates, day-level alcohol use, and time effects (ie, study day and weekend vs weekday).

RESULTS

Same-day co-use was reported in 989 of the total 2891 daily assessments (34.2%). Co-use of cigarettes and combustible cannabis (885 of the 2891 daily assessments; 30.6%) was most commonly reported. Participants had higher odds of using cigarettes (adjusted odds ratio [AOR] 1.92, 95% CI 1.31-2.81) and cigarillos (AOR 244.29, 95% CI 35.51-1680.62) on days when they used combustible cannabis. Notably, participants had higher odds of using e-cigarettes on days when they used vaporized cannabis (AOR 23.21, 95% CI 8.66-62.24). Participants reported a greater intensity of using cigarettes (AOR 1.35, 95% CI 1.23-1.48), cigarillos (AOR 2.04, 95% CI 1.70-2.46), and e-cigarettes (AOR 1.48, 95% CI 1.16-1.88) on days when they used more cannabis.

CONCLUSIONS

Types and intensities of tobacco and cannabis use within a day among young adult smokers were positively correlated, including co-use of vaporized products. Prevention and intervention efforts should address co-use and pay attention to all forms of use and timeframes of co-use (eg, within a day or at the same time), including co-use of e-cigarettes and vaporized cannabis, to reduce negative health outcomes.

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).

Efficacy of smartphone applications for smoking cessation in heavy-drinking adults: Secondary analysis of the iCanQuit randomized trial

INTRODUCTION

Efficacious smoking cessation treatments are needed for heavy-drinking adults who often have difficulty quitting smoking. In a secondary analysis of a parent randomized controlled trial, we explored the efficacy of an Acceptance and Commitment Therapy (ACT)-based smartphone application (iCanQuit) versus a US Clinical Practice Guidelines (USCPG)-based smartphone application (QuitGuide) for smoking cessation among heavy-drinking participants (4 + drinks/day for women; 5 + drinks/day for men).

METHODS

Participants were randomized to receive iCanQuit (n = 188) or QuitGuide (n = 160) for 12-months. Smoking cessation outcomes were measured at 3, 6 and 12-months. The primary outcome was self-reported complete-case 30-day point prevalence abstinence (PPA) at 12-months. Secondary outcomes were 7-day PPA at all timepoints; prolonged abstinence; and cessation of all nicotine-containing products at 12-months. Multiple imputation and missing-as-smoking analyses were also conducted. Exploratory outcomes were cessation of both smoking and heavy drinking and change in alcohol use (drinks/day) at 12-months. Treatment engagement and satisfaction and change in ACT-based processes were compared between arms.

RESULTS

Retention rate was 85% at 12-months and did not differ by arm. At 12-months, iCanQuit participants had nearly double the odds of smoking cessation compared to QuitGuide (complete-case 30-day PPA = 24% vs. 15%; OR = 1.87 95% CI: 1.03, 3.42). Findings were similar for the multiple imputation and missing-as-smoking outcomes at 12-months. Combined cessation of smoking and heavy drinking, and alcohol use at 12-months did not differ by arm. iCanQuit was significantly more engaging and satisfying than QuitGuide. Increased acceptance of thoughts about smoking mediated the effect of treatment on cessation of heavy drinking at 12-months.

CONCLUSIONS

The iCanQuit smartphone application was more efficacious and engaging for smoking cessation among heavy-drinking adults than a USCPG-based smartphone application.

Blocking of P2X7r Reduces Mitochondrial Stress Induced by Alcohol and Electronic Cigarette Exposure in Brain Microvascular Endothelial Cells

Studies in both humans and animal models demonstrated that chronic alcohol/e-cigarette (e-Cig) exposure affects mitochondrial function and impairs barrier function in brain microvascular endothelial cells (BMVECs). Identification of the signaling pathways by which chronic alcohol/e-Cig exposure induces mitochondrial damage in BMVEC is vital for protection of the blood-brain barrier (BBB). To address the issue, we treated human BMVEC [hBMVECs (D3 cell-line)] with ethanol (ETH) [100 mM], acetaldehyde (ALD) [100 μM], or e-cigarette (e-Cig) [35 ng/mL of 1.8% or 0% nicotine] conditioned medium and showed reduced mitochondrial oxidative phosphorylation (OXPHOS) measured by a Seahorse analyzer. Seahorse data were further complemented with the expression of mitochondrial OXPHOS proteins detected by Western blots. We also observed cytosolic escape of ATP and its extracellular release due to the disruption of mitochondrial membrane potential caused by ETH, ALD, or 1.8% e-Cig exposure. Moreover ETH, ALD, or 1.8% e-Cig treatment resulted in elevated purinergic P2X7r and TRPV1 channel gene expression, measured using qPCR. We also demonstrated the protective role of P2X7r antagonist A804598 (10 μM) in restoring mitochondrial oxidative phosphorylation levels and preventing extracellular ATP release. In a BBB functional assay using trans-endothelial electrical resistance, we showed that blocking the P2X7r channel enhanced barrier function. In summary, we identified the potential common pathways of mitochondrial injury caused by ETH, ALD, and 1.8% e-Cig which allow new protective interventions. We are further investigating the potential link between P2X7 regulatory pathways and mitochondrial health.

Adaptive Text Messaging for Postpartum Risky Drinking: Conceptual Model and Protocol for an Ecological Momentary Assessment Study (Preprint)

Background

Risky drinking is prevalent among women of childbearing age. Although many women reduce their drinking during pregnancy, more than half return to prepregnancy levels during the early postpartum period. Risky drinking in new mothers may be associated with negative child and maternal health outcomes; however, new mothers are unlikely to seek treatment for risky drinking because of stigma and fear of child protective service involvement. SMS text messaging is a promising approach for reaching non–treatment-seeking new mothers at risk because of risky drinking. SMS text messaging interventions (TMIs) are empirically supported for alcohol use, but a tailored intervention for new mothers does not exist. This study aims to fill this gap by developing a just-in-time adaptive TMI for postpartum risky drinking.

Objective

The objectives of this paper are to present a preliminary conceptual model of postpartum risky drinking and describe the protocol for conducting an ecological momentary assessment (EMA) study with new mothers to inform the refinement of the conceptual model and development of the TMI.

Methods

This paper presents a preliminary conceptual model of postpartum risky drinking based on the motivational model of alcohol use, social cognitive theory, and temporal self-regulation theory. The model proposes three primary intervention targets: motivation, self-efficacy, and self-regulation. Theoretical and empirical literature in support of the conceptual model is described. The paper also describes procedures for a study that will collect EMA data from 30 participants recruited via social media and the perinatal Central Intake system of New Jersey. Following the baseline assessment, EMA surveys will be sent 5 times per day for 14 days. The assessment instruments and data analysis procedures are described.

Results

Recruitment is scheduled to begin in January 2022 and is anticipated to conclude in March 2022. Study results are estimated to be published in July 2022.

Conclusions

The study findings will enhance our understanding of daily and momentary fluctuations in risk and protective factors for risky drinking during the early postpartum period. The findings will be used to refine the conceptual model and inform the development of the TMI. The next steps for this work include the development of intervention components via an iterative participatory design process and testing of the resulting intervention in a pilot microrandomized trial.

International Registered Report Identifier (IRRID)

PRR1-10.2196/36849

Assessing subjective cannabis effects in daily life with contemporary young adult language

INTRODUCTION

Subjective ratings of cannabis effects are important predictors of use-related consequences. However, psychometric research is fairly limited, particularly for measures to capture variability in daily life when diverse modes of cannabis administration and co-substance use are common.

METHODS

This study evaluated the predictive utility of a revised item to assess perceived cannabis effects and examined modes of cannabis administration and alcohol and nicotine co-use as moderators. Participants were 106 young adults (18-25 years; 51% female) who completed up to 14 consecutive daily reports of substance use (n = 1405 person-days). Two measures of subjective effects were examined: a standard item (0-100 rating of "how high do you feel?") and a revised item that uses four crowd-sourced anchor points ranging from relaxed (0), calm/chill (33), high (67), and stoned/baked (100). The items shared substantial variance (Pseudo-R² = 59.5%), however, the revised item showed greater within-person variability (77.0% vs. 68.8%) and stronger day-level associations with consumption levels (Pseudo-R² = 25.0% vs. 16.7%).

RESULTS

The cannabis consumption-subjective effects link was weaker on blunt-only days compared to vape-only days. Subjective cannabis effects were higher on nicotine co-use days after controlling for cannabis consumption; neither alcohol nor nicotine co-use moderated the cannabis consumption-subjective effects link.

DISCUSSION

The revised subjective cannabis effects item is a viable alternative to the standard item among young adults who engage in simultaneous alcohol and cannabis use.

CONCLUSIONS

Future research focused on characterizing the variability in cannabis effects is needed.