Episodic future thinking for smoking cessation in individuals with substance use disorder: Treatment feasibility and acceptability

Association of Tobacco Dependence Treatment Coverage Expansion With Smoking Behaviors Among Medicaid Beneficiaries Living With Substance Use Disorder

INTRODUCTION

Many U.S. states expanded the generosity of Medicaid insurance coverage of tobacco dependence treatment over the last fifteen years, but little is known about how coverage impacts cigarette smoking, especially for individuals with substance use disorder.

METHODS

Data are from the 2009 to 2018 National Survey on Drug Use and Health and include Medicaid beneficiaries 18-64 years old with past year substance use disorder who smoked at least 100 cigarettes in their lifetime. Outcomes were smoking cessation, nicotine dependence, and number of cigarettes smoked per month. Difference-in-differences models were estimated for smoking behavior by state and year of comprehensive tobacco dependence treatment coverage, estimating multivariable linear probability models, adjusted for sociodemographic characteristics, co-occurring mental illness, and area-level provider supply. All data were analyzed in 2023 and 2024.

RESULTS

Rates of nicotine dependence among individuals with past-year SUD increased slightly between 2009 and 2018 among individuals living in states with comprehensive tobacco dependence treatment coverage (55.6% to 58.6%) and changed little among individuals living in states with no or partial TDT coverage (60.0% to 59.5%). Quit rates increased for individuals with substance use disorder during this time, with no differences by comprehensive tobacco dependence treatment coverage. In adjusted models, no significant association between comprehensive Medicaid tobacco dependence treatment coverage and smoking behaviors was identified (e.g., cessation: β= -0.02, CI=-0.08, 0.04). One-year lagged outcomes and sensitivity analyses accounting for the differential time of initiation of state policies demonstrated similar results.

CONCLUSIONS

Comprehensive tobacco dependence treatment coverage had no differential effect on smoking cessation among ever smokers with or without substance use disorder, and its expansion was not associated with changes in smoking behaviors for Medicaid beneficiaries with substance use disorder. Other multilevel interventions may be needed to impact smoking cessation rates, such as awareness and education campaigns of expanded tobacco dependence treatment coverage benefits, and interventions that reduce social and structural barriers to treatment.

Impulsivity, trauma history, and interoceptive awareness contribute to completion of a criminal diversion substance use treatment program for women

Introduction

In the US, women are one of the fastest-growing segments of the prison population and more than a quarter of women in state prison are incarcerated for drug offenses. Substance use criminal diversion programs can be effective. It may be beneficial to identify individuals who are most likely to complete the program versus terminate early as this can provide information regarding who may need additional or unique programming to improve the likelihood of successful program completion. Prior research investigating prediction of success in these programs has primarily focused on demographic factors in male samples.

Methods

The current study used machine learning (ML) to examine other non-demographic factors related to the likelihood of completing a substance use criminal diversion program for women. A total of 179 women who were enrolled in a criminal diversion program consented and completed neuropsychological, self-report symptom measures, criminal history and demographic surveys at baseline. Model one entered 145 variables into a machine learning (ML) ensemble model, using repeated, nested cross-validation, predicting subsequent graduation versus termination from the program. An identical ML analysis was conducted for model two, in which 34 variables were entered, including the Women's Risk/Needs Assessment (WRNA).

Results

ML models were unable to predict graduation at an individual level better than chance (AUC = 0.59 [SE = 0.08] and 0.54 [SE = 0.13]). Post-hoc analyses indicated measures of impulsivity, trauma history, interoceptive awareness, employment/financial risk, housing safety, antisocial friends, anger/hostility, and WRNA total score and risk scores exhibited medium to large effect sizes in predicting treatment completion (p < 0.05; ds = 0.29 to 0.81).

Discussion

Results point towards the complexity involved in attempting to predict treatment completion at the individual level but also provide potential targets to inform future research aiming to reduce recidivism.

Episodic Future Thinking Increases Quitting Intention and Reduces Cigarette Consumption: The Role of Anticipated Regret

Background: Episodic future thinking (EFT), which refers to people simulating possible future life events, has been suggested as a promising intervention for substance use disorders. Objectives: To examine the effect of gain-oriented and loss-oriented EFT on smoking cessation and its underlying mechanisms. Results: Two online experiments were conducted (Total N = 362). The results suggested that engaging in EFT led to increased short-term quitting behavior among smokers by bolstering their intentions to quit smoking (indirect effect = 0.10, bootstrap = 5000, bias-corrected 95% CI [0.0008, 0.2353]). Furthermore, the influence of EFT on quitting intention was mediated by anticipated regret (indirect effect = 0.37, bootstrap = 5000, bias-corrected 95% CI [0.2062, 0.5321]). There were no significant differences observed between the effects of gain-oriented and loss-oriented EFT on quitting intention (F = 0.28, p = .60). Importance: Our findings contribute to a growing body of literature on the adaptive functioning of EFT and lend support to the regret regulation theory. Health practitioners may consider integrating EFT into clinical interventions to help smokers quit smoking.

Effectiveness and feasibility of the self-administered and repeated episodic future thinking exercises in smoking cessation

Delay discounting (DD) is associated with smoking behavior and relapses. Episodic future thinking (EFT) is one of the leading interventions shown to reduce DD. The 1-month follow-up study with 60 participants that employed EFT as active intervention and episodic recent thinking (ERT) as control intervention was conducted in participants receiving smoking cessation treatment. In EFT group, there was significant decrease in DD rates from pre-intervention to post-intervention (p = 0.009), whereas no significant change was observed in ERT group (p = 0.497). DD rates in EFT group did not change significantly over 1 month (p = 0.059), while decrease was detected in ERT group (p = 0.011). Smoking cessation rates between groups were similar (p = 0.486). Adherence with completing follow-up evaluation forms and performing relevant exercises was higher in EFT group (p = 0.038, p = 0.006). Adding EFT to usual smoking cessation treatment did not increase smoking cessation rates, however feasibility of the self-administered exercises needs to be improved to clarify clinical effects.

Imagine before you leap: Episodic future thinking combined with transcranial direct current stimulation training for impulsive choice in repetitive negative thinking

Background

Immediate reward preference in repetitive negative thinking (RNT) has a high clinical correlation with a variety of maladaptive behaviors, whereas episodic future thinking (EFT) may be conducive to dealing with non-adaptive thinking and decision-making.

Objectives

This study aimed to evaluate the efficacy of EFT training combined with transcranial direct current stimulation (tDCS) stimulation over the ventromedial PFC (vmPFC) in inhibiting impulsive choice of RNT individuals.

Method

Study 1 explored the effects of EFT on immediate reward preference of participants with high and low RNT (N = 48). Study 2 conducted a randomized controlled trial (RCT) to examine the treatment effect of the EFT-neural training on impulsive choice of high RNT individuals (N = 103).

Results

In study 1, individuals with high RNT were more likely to choose smaller and sooner (SS) rewards, however, there were no significant differences between the high-RNT group and the low-RNT group under the positive EFT condition. In study 2, a significant decrease was shown in the proportion of choosing SS rewards under the 8-week EFT-neural training, and the effect was maintained at 1 month follow-up.

Conclusion

RNT is a vulnerability factor for short-sighted behaviors, and EFT-neural training could be suitable for reducing RNT and improving immediate reward preference.

Neuroeconomic predictors of smoking cessation outcomes: A preliminary study of delay discounting in treatment-seeking adult smokers

Large proportions of smokers are unsuccessful in evidence-based smoking cessation treatment and identifying prognostic predictors may inform improvements in treatment. Steep discounting of delayed rewards (delay discounting) is a robust predictor of poor smoking cessation outcome, but the underlying neural predictors have not been investigated. Forty-one treatment-seeking adult smokers completed a functional magnetic resonance imaging (fMRI) delay discounting paradigm prior to initiating a 9-week smoking cessation treatment protocol. Behavioral performance significantly predicted treatment outcomes (verified 7-day abstinence, n = 18; relapse, n = 23). Participants in the relapse group exhibited smaller area under the curve (d = 1.10) and smaller AUC was correlated with fewer days to smoking relapse (r = 0.56, p < 0.001) Neural correlates of discounting included medial and dorsolateral prefrontal cortex, posterior cingulate, precuneus and anterior insula, and interactions between choice type and relapse status were present for the dorsolateral prefrontal cortex, precuneus and the striatum. This initial investigation implicates differential neural activity in regions associated with frontal executive and default mode activity, as well as motivational circuits. Larger samples are needed to improve the resolution in identifying the neural underpinnings linking steep delay discounting to smoking cessation.

A randomized controlled trial of contingency management for smoking cessation in substance use treatment patients

Background/Objective

Contingency management (CM) is one of the most effective interventions for smokers with substance use disorder (SUD), and no empirical assessment of its long-term efficacy has been conducted so far in a real-world context. The objectives were: (1) examine the additive effectiveness of CM on cognitive-behavioral treatment (CBT) for smoking cessation, and (2) examine the relationship between smoking cessation and substance use abstinence.

Method

A total of 80 participants (75.8% males; M_age = 45.31; SD = 9.64) were assigned to two smoking cessation treatments: CBT or CBT+CM. A set of generalized estimating equations were conducted to examine the effect of treatment condition on smoking outcomes, as well as the effect of smoking status on substance abstinence.

Results

Adding CM to CBT for smoking cessation improved tobacco abstinence rates at the end-of-treatment (p = .049). Tobacco abstinence rates declined over time (p = .012), but no significant effects of treatment condition were observed across follow-ups (p = .260). Smoking cessation was not significantly related to substance abstinence (p ≥ .488).

Conclusions

CM facilitates early abstinence in smokers with SUD, although effects subside after treatment termination. The lack of association between smoking abstinence and substance use suggests no jeopardizing effects as a result of quitting smoking.

How do cannabis users mentally travel in time? Evidence from an fMRI study of episodic future thinking

RATIONALE

Episodic future thinking (EFT) is a cognitive function that allows individuals to imagine novel experiences that may happen in the future. Prior studies show that EFT is impaired in different groups of substance users. However, there is no evidence regarding the neurobiological mechanisms of EFT in cannabis users.

OBJECTIVES

We aimed to compare brain activations of regular cannabis users and non-using controls during an EFT fMRI task. Exploratory analyses were also conducted to investigate the association between EFT and cannabis use variables (e.g., duration of use, age onset, frequency of use).

METHODS

Twenty current cannabis users and 22 drug-naïve controls underwent an fMRI scanning session while completing a task involving envisioning future-related events and retrieval of past memories as a control condition. The EFT fMRI task was adapted from the autobiographical interview and composed of 20 auditory cue sentences (10 cues for past and 10 cues for future events). Participants were asked to recall a past or generate a future event, in response to the cues, and then rate their vividness after each response.

RESULTS

We found that cannabis users compared to non-user controls had lower activation within the cerebellum, medial and superior temporal gyrus, lateral occipital cortex, and occipital fusiform gyrus while envisioning future events. Cannabis users rated the vividness of past events significantly lower than non-users (P < 0.005). There were marginal group differences for rating the vividness of future events (P = 0.052). Significant correlations were also found between the medial and superior temporal gyrus activities and behavioral measures of EFT and episodic memory.

CONCLUSIONS

Cannabis users, compared to drug-naïve controls, have lower brain activation in EFT relevant regions. Thus, any attempts to improve aberrant EFT performance in cannabis users may benefit from EFT training.

Exploring the impacts of implicit context association and arithmetic booster in impulsivity reduction

People have a higher preference for immediate over delayed rewards, and it is suggested that such an impulsive tendency is governed by one's ability to simulate future rewards. Consistent with this view, recent studies have shown that enforcing individuals to focus on episodic future thoughts reduces their impulsivity. Inspired by these reports, we hypothesized that administration of a simple cognitive task linked to future thinking might effectively modulate individuals' delay discounting. Specifically, we used one associative memory task targeting intervention of context information, and one working memory task targeting enhancement of individual's ability to construct a coherent future event. To measure whether each type of cognitive task reduces individuals' impulsivity, a classic intertemporal choice task was used to quantify individuals' baseline and post-intervention impulsivity. Across two experiments and data from 216 healthy young adult participants, we observed that the impacts of intervention tasks were inconsistent. Still, we observed a significant task repetition effect such that the participants showed more patient choices in the second impulsivity assessment. In conclusion, there was no clear evidence supporting that our suggested intervention tasks reduce individuals' impulsivity, and that the current results call attention to the importance of taking into account task repetition effects in studying the impacts of cognitive training and intervention.

Contingency management for smoking cessation among individuals with substance use disorders: In-treatment and post-treatment effects

INTRODUCTION

Smokers with substance use disorders (SUDs) show elevated tobacco prevalence, and smoking abstinence rates are considerably low. This randomized controlled trial sought to compare the effect of a cognitive behavioral treatment (CBT) that includes an episodic future thinking (EFT) component with the same treatment protocol plus contingency management (CM). This study aims to examine the effect of CM on smoking outcomes and in-treatment behaviors (i.e., retention, session attendance and adherence to nicotine use reduction guidelines), and to analyze whether these in-treatment variables predicted days of continuous abstinence at end-of-treatment.

METHOD

A total of 54 treatment-seeking participants (75.9% males, M = 46.19 years old) were allocated to CBT + EFT (n = 30) or CBT + EFT + CM (n = 24). Intervention consisted of eight weeks of group-based sessions. Tobacco abstinence was verified biochemically by testing levels of carbon monoxide (≤4ppm) and urine cotinine (≤80 ng/ml).

RESULTS

CM intervention increased 24-hour tobacco abstinence (50% vs. 20%, χ²(1) = 5.4; p = .021) and days of continuous abstinence (M = 5.92 ± 7.67 vs. 5.53 ± 12.42; t(52) = -0.132; p = 0.89) at end-of-treatment in comparison with CBT + EFT intervention. Although not statistically significant, CBT + EFT + CM enhanced in-treatment behaviors, in terms of retention (83.3% vs. 70%; χ²(1) = 0.255; p = .208), sessions attended (12.29 ± 3.22 vs. 10.93 ± 3.26; t(52) = -1.527; p = .133) and adherence to weekly nicotine use reduction targets (41.07% ± 31.96 vs. 35% ±2 6.28; t(52) = -0.766; p = .447). A higher percentage of samples meeting reduction guidelines (β = 0.609; p<.001) predicted days of continuous abstinence at end-of-treatment.

CONCLUSION

Combining CM with CBT + EFT improves short-term quitting rates. Findings suggest the need to incorporate strategies for improving adherence to nicotine reduction guidelines.