Trajectories of drinking urges and the initiation of abstinence during cognitive-behavioral alcohol treatment

Pretreatment changes in drinking: Theoretical and methodological implications for alcohol use disorder treatment outcome research

BACKGROUND

There is a growing recognition of the importance of changes in drinking prior to the first treatment session (i.e., pretreatment change). A major limitation of past studies of pretreatment change is the reliance on retrospective reporting on drinking rates between the baseline assessment and the first treatment session collected at the end of treatment. The present study sought to extend previous findings by examining 12-month treatment outcomes and correlates of pretreatment changes in drinking measured weekly during treatment.

METHODS

Data from a randomized behavioral clinical trial examining the effect of therapeutic alliance feedback on drinking outcomes were analyzed (n = 165). All participants received cognitive behavioral therapy for alcohol dependence, completed pre and posttreatment assessments, and provided weekly measures of drinking during treatment.

RESULTS

Results indicated that approximately half of the sample reduced their heavy drinking days by 70% or more and number of drinking days by 50% or more prior to beginning treatment. Further, individuals who reported greater consideration of how their problematic drinking affected their social environment displayed greater changes in drinking days prior to treatment. Changes in heavy drinking days were also related to relationship status, such that individuals who were single/never married were less likely to change prior to treatment than those who were married/cohabitating or separated/divorced.

CONCLUSION

These confirm the importance of pretreatment change in the study of treatment outcomes, and suggest that interpersonal processes, including the appraisal of drinking behavior in a social context, may play an important role in pretreatment changes in drinking.

Remotely Assessing Mechanisms of Behavioral Change in Community Substance Use Disorder Treatment to Facilitate Measurement-Informed Care: Pilot Longitudinal Questionnaire Study

Background

Research shows that improvements in coping strategies, abstinence self-efficacy, craving, and depression are potential mechanisms of behavioral change (MOBC) in treatments for substance use disorders (SUDs). However, little is known about how these insights regarding MOBC can be applied to SUD treatment settings. One way to facilitate MOBC-informed care in frontline settings could be to measure and monitor changes in MOBC throughout treatment using brief, frequent questionnaires that patients complete by using mobile technologies (eg, smartphones). The results derived from these questionnaires could potentially be used for clinical monitoring (ie, measurement-based care) to better understand whether individual patients are experiencing treatment-related improvements on key clinical targets.

Objective

This study evaluated whether brief, weekly MOBC questionnaires completed by patients remotely can potentially provide clinically meaningful information about changes in MOBC in the context of real-world, community-based SUD treatment.

Methods

A total of 30 patients (14/30, 47% female; 13/30, 43% racial or ethnic minority) in a community SUD treatment clinic participated in a pilot study where they were invited to complete brief, weekly questionnaires that assessed various MOBC, including coping strategies, abstinence self-efficacy, craving, depression, and therapeutic alliance. Questionnaires were typically completed remotely via smartphone for up to 6 months; 618 questionnaires were completed in total. Participants also completed longer, psychometrically validated measures of the same MOBC at baseline and 6-month research appointments. Statistical analyses tested whether brief, weekly, remotely completed MOBC questionnaires exhibited characteristics that would be desirable for real-world longitudinal clinical monitoring, including a tendency to detect within-person changes in MOBC over time; cross-sectional and longitudinal associations with longer, psychometrically validated measures completed at research appointments; and similar patterns of associations with 6-month percentage of days abstinent as longer, psychometrically validated MOBC measures completed at research appointments.

Results

The results of this study indicated that the brief, weekly, remotely completed MOBC measures exhibited characteristics that are desirable for clinical monitoring, including a tendency to vary longitudinally (within patients over time) more often than measures of alcohol and drug consumption, generally having medium to large cross-sectional and longitudinal correlations with longer psychometrically validated measures of MOBC completed at research appointments, and generally having similar patterns of association with 6-month percentage of days abstinent from alcohol and drugs as longer psychometrically validated MOBC measures completed at research appointments.

Conclusions

The results of this pilot study provide initial evidence that incorporating brief, weekly, and remotely completed MOBC questionnaires into community SUD treatment may be a viable approach for facilitating MOBC-informed care. Such questionnaires can potentially support measurement-based care by providing meaningful information about within-patient changes in clinical domains that are often directly targeted in SUD treatments and predict long-term substance use outcomes.

Within-AUD outpatient treatment heavy drinking transitions and associations with long-term outcomes

OBJECTIVES

The purpose of this study was to examine whether changes in heavy drinking occurring within alcohol treatment predict long-term functioning.

METHOD

Latent profile analyses were conducted using data from Project MATCH and COMBINE. Observed changes in heavy and nonheavy drinking within consecutive 2-week periods over the respective treatment durations were characterized for each participant and were used to identify latent profiles.

RESULTS

Both data sets revealed 6 profiles: (1) continuous "remission" (nonheavy drinking); (2) transition from heavy drinking ("relapse") to remission; (3) mostly remission, limited relapse; (4) numerous short transitions between relapse and remission; (5) transition to relapse; and (6) continuous relapse. Profiles 1 and 2 had the best long-term outcomes, Profiles 5 and 6 had the worst, and Profiles 3 and 4 fell between these groups. Within-treatment patterns of heavy drinking and nonheavy drinking were also associated with post-treatment patterns of relapse and remission.

CONCLUSIONS

Patterns of transition between episodes that respectively include heavy and nonheavy drinking predict long-term alcohol use and psychosocial outcomes and seem essential for clinicians to discuss with their patients. Relapses during outpatient treatment do not necessarily indicate treatment failure, provided they are relatively brief and/or infrequent. In addition, some individuals can and do change from transition patterns of heavy drinking within treatment that are predictive of poorer long-term functioning to transition patterns that predict better functioning within the first year post-treatment.

Predictors of Changes in Alcohol Craving Levels during a Virtual Reality Cue Exposure Treatment among Patients with Alcohol Use Disorder

BACKGROUND/OBJECTIVE

Determining the predictive variables associated with levels of alcohol craving can ease the identification of patients who can benefit from treatments. This study aimed to describe changes (improvement or no change/deterioration) in alcohol craving levels and explore the predictors of these changes from admission to discharge in outpatients with alcohol use disorder (AUD) undergoing treatment-as-usual (TAU), or treatment-as-usual supplemented with virtual reality cue-exposure therapy (TAU + VR-CET).

METHOD

A prospective cohort study was conducted amongst 42 outpatients with AUD (n = 15 TAU + VR-CET and n = 27 TAU) from a clinical setting. Changes in the levels of alcohol craving between admission and discharge were assessed with the Multidimensional Alcohol Craving Scale. Sociodemographic characteristics (age, gender, education, and socioeconomic and civil status), cognitive-affective behavioral patterns (AUD severity, abstinence duration, psychiatric comorbidity, state anxiety, attentional bias, and substance use), and type of treatment (TAU + VR-CET and only TAU) were also evaluated.

RESULTS

The TAU + VR-CET group showed greater changes of improvement in the levels of alcohol craving than the TAU group (χ2 = 10.996; p = 0.001). Intragroup changes in alcohol craving from pre to post-treatment were significant in the TAU + VR-CET group (χ2 = 13.818; p = 0.003) but not within the TAU group (χ2 = 2.349; p = 0.503). The odds of an improvement in any of the craving levels between pre- and post-test was 18.18 (1/0.055) times higher in the TAU + VR-CET group with respect to the TAU group. The use of illicit drugs in the month prior to the test increased the odds of having a positive change by 18.18 (1/0.055) with respect to not having consumed.

CONCLUSIONS

Including VR-CET in TAU programs may provide benefits in the treatment of AUDs mainly among patients with intense alcohol craving and individuals having used illicit substances prior to treatment.

Treatment Interventions for Women With Alcohol Use Disorder

Women with alcohol use disorder (AUD) experience more barriers to AUD treatment and are less likely to access treatment than men with AUD. A literature review identified several barriers to women seeking help: low perception of a need for treatment; guilt and shame; co-occurring disorders; employment, economic, and health insurance disparities; childcare responsibilities; and fear of child protective services. Women entering treatment present with more severe AUD and more complex psychological, social, and service needs than men. Treatment program elements that may reduce barriers to AUD treatment include provision of childcare, prenatal care, treatment for co-occurring psychological problems, and supplemental social services. Research has suggested that outcomes for women are best when treatment is provided in women-only programs that include female-specific content. To date, research on treatments tailored to the individual needs of women is limited, but research on mechanisms of change has suggested the importance of targeting anxiety and depression, affiliative statements in treatment, abstinence self-efficacy, coping skills, autonomy, and social support for abstinence. Future research should focus on early interventions, linkages between primary care or mental health clinics and AUD treatment settings, and integrated treatments for co-occurring AUD and other disorders. Further research should also explore novel treatment delivery approaches such as digital platforms and peer support groups.

Changes in Hypothesized Mechanisms of Change Before and After Initiating Abstinence in Cognitive-Behavioral Therapy for Women With Alcohol Use Disorder

Abstinence self-efficacy, coping skills, and therapeutic alliance are hypothesized mechanisms of behavioral change (MOBCs) in cognitive-behavioral therapy (CBT) for alcohol use disorder (AUD). However, little is known about when these hypothesized MOBCs change during treatment or in relation to the initiation of abstinence from alcohol, which the current study investigated. Patient-reported abstinence self-efficacy, drinking-related coping skills, and therapeutic alliance were measured at every session throughout a 12-session clinical trial that previously showed equivalent drinking reductions in female-specific individual- and group-based CBT for AUD. Participants (N = 121 women) were classified into subgroups based on whether and when they first initiated 14 days of continuous abstinence from alcohol during treatment. Interrupted time-series analyses evaluated the magnitude and timing of change in MOBC variables in relation to the initiation of abstinence. All three MOBC measures showed gradual improvements throughout treatment (within-subjects d = 0.03 to 0.09 change per week). Participants who initiated abstinence during treatment experienced additional sudden improvements in abstinence self-efficacy (d = 0.47) and coping skills (d = 0.27), but not therapeutic alliance (d = -0.02), the same week they initiated abstinence. Participants who were already abstinent when treatment started maintained higher abstinence self-efficacy and coping skills, but not therapeutic alliance, throughout treatment compared to participants who never initiated abstinence. Initiating abstinence may help facilitate improvements in abstinence self-efficacy and drinking-related coping skills. Clinicians may help patients anticipate when and how much these variables are expected to improve during treatment and encourage initiation of abstinence to potentially help facilitate improvements in abstinence self-efficacy and coping skills.

Course of remission from and relapse to heavy drinking following outpatient treatment of alcohol use disorder

BACKGROUND

We sought to understand alcohol behavior change as a process over time by identifying patterns of relapse and remission after outpatient treatment and evaluating how these patterns predict longer-term clinical outcomes.

METHOD

We conducted latent profile analyses using data from the outpatient arm in Project MATCH. Relapse and remission episodes were defined by the number of consecutive 14-day periods that included any heavy drinking days and no heavy drinking days. Indicators of each profile were: initial 2-week post-treatment remission/relapse status, number of remission/relapse transitions in the first year after treatment, duration of remission episodes, and duration of relapse episodes.

RESULTS

We identified 6 profiles: 1) "remission," 2) "transition to remission", 3) "few long transitions," 4) "many short transitions," 5) "transition to relapse," and 6) "relapse." Profile 1 had the best long-term outcomes. Long-term outcomes were not uniform among individuals with at least some heavy drinking (profiles 2 through 6; ∼75% of the sample). Individuals who transitioned back to and sustained periods of remission (profiles 2-4) had better long-term outcomes than those who failed to transition out of relapse (profiles 5-6) following treatment.

CONCLUSIONS

Post-treatment change in alcohol use is a process in which individuals variably transition in and out of "relapse" and "remission" statuses. "Any heavy drinking" following treatment is not necessarily a sign of treatment failure. A more nuanced look at the process of AUD change by considering whether individuals are able to transition to and sustain periods of remission seems warranted.

Effects of Initiating Abstinence from Alcohol on Daily Craving and Negative Affect: Results from a Pharmacotherapy Clinical Trial

BACKGROUND

Craving and negative affect are distressing and commonly experienced during alcohol use disorder (AUD) treatment. Patients may assume that initiating abstinence will intensify their cravings and negative affect despite limited empirical data to support this assumption. This study extends and replicates, under improved methodological conditions, previous work that found reductions in daily craving associated with initiating abstinence.

METHODS

Seventy-eight adults (80.8% male, 57.1% Caucasian) in a clinical trial testing prazosin for AUD provided daily reports of drinking, craving, and negative affect for up to 12 weeks (mean = 64.77 daily reports). Participants were classified into 3 subgroups based on whether and when they initiated 14 days of continuous abstinence, including (i) "abstinence initiators" who quit drinking during treatment (n = 17), (ii) "already abstainers" who were abstinent at the start of treatment (n = 20), and (iii) "continued drinkers" who never initiated abstinence (n = 41). The timing and degree of change in craving and negative affect were compared across these groups using multivariate growth curve modeling.

RESULTS

All participant subgroups reported gradual reductions in craving over the course of treatment, with "abstinence initiators" reporting additional sudden reductions in craving upon initiating abstinence from alcohol. "Continued drinkers" reported higher levels of craving than "already abstainers" throughout the full course of treatment. Negative affect followed a different pattern of change, with "abstinence initiators" experiencing gradual reductions in negative affect after initiating abstinence but no changes prior to or immediately upon initiating abstinence, and with "already abstainers" and "continued drinkers" experiencing no changes in negative affect over time.

CONCLUSIONS

Initiating abstinence is associated with immediate reductions in craving, followed by gradual reductions in both craving and negative affect. Results provide insight into the timing and magnitude of changes in theoretically and clinically important variables and may help patients anticipate when to expect improvement in craving and negative effect.

Advancing Analytic Approaches to Address Key Questions in Mechanisms of Behavior Change Research

OBJECTIVE

Interest in studying mechanisms of behavior change (MOBCs) in substance use disorder (SUD) treatments has grown considerably in the past two decades. Much of this work has focused on identifying which variables statistically mediate the effect of SUD treatments on clinical outcomes. However, a fuller conceptualization of MOBCs will require greater understanding of questions that extend beyond traditional mediation analysis, including better understanding of when MOBCs change during treatment, when they are most critical to aiding the initiation or maintenance of change, and how MOBCs themselves arise as a function of treatment processes.

METHOD

In the present study, we review why these MOBC-related questions are often minimally addressed in empirical research and provide examples of data analytic methods that may address these issues. We highlight several recent studies that have used such methods and discuss how these methods can provide unique theoretical insights and actionable clinical information.

RESULTS

Several statistical approaches can enhance the field's understanding of the timing and development of MOBCs, including growth-curve modeling, time-varying effect modeling, moderated mediation analysis, dynamic systems modeling, and simulation methods.

CONCLUSIONS

Adopting greater diversity in methods for modeling MOBCs will help researchers better understand the timing and development of key change variables and will expand the theoretical precision and clinical impact of MOBC research. Advances in research design, measurement, and technology are key to supporting these advances.