Effectiveness of a Systems-Wide Initiative to Address Motivation and Expectations for Treatment on Initial Session Attendance to Outpatient Gambling Treatment.

This brief report expands the results of a prior efficacy study that examined the effect of a letter addressing prospective clients' motivation and expectations for outpatient gambling disorder treatment on initial session attendance. The results of that efficacy study indicated more clients attended the initial session when receiving the letter (77%) compared to receiving a reminder telephone call (51%). The present study examines the effectiveness of messages addressing prospective clients' motivation and expectations for outpatient gambling treatment across an entire treatment system. Messages were sent via letters, telephone, and in-person communication with all clinic staff. Participants were 54 clients with gambling disorder who were seeking outpatient psychological treatment. Results indicated that the percentage of clients attending the initial session was 85%, and no differences in attendance were found between in-person and telehealth sessions. These findings suggest that messages that address motivation and expectations persist under real-world conditions, and treatment systems can make meaningful changes that increase attendance to initial treatment sessions.

Does cognitive-behavioral treatment affect putative mechanisms of change among individuals with problem gambling? A systematic review and exploratory meta-analysis.

OBJECTIVE: The current study was a systematic review and meta-analysis of cognitive behavioral treatment (CBT) for problem gambling and gambling disorder and whether it produced different outcomes than minimal or no treatment controls on three putative change mechanisms: 1) gambling cognitions, 2) coping, and 3) self-efficacy. METHOD: Studies were identified from five bibliographic databases (i.e., Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Embase, PsycINFO, and PubMed). Included studies were randomized controlled trials of CBT that included posttreatment data on putative mechanisms. Between-group Hedges's g effect sizes were calculated to examine outcomes of CBT relative to minimal or no treatment control on gambling cognitions, coping, and self-efficacy at posttreatment. Risk of bias was determined using the Cochrane Risk of Bias tool. RESULTS: Fifteen studies, representing 1,536 participants, were eligible for analysis. Participants in CBT had more favorable gambling cognitions (g = -0.41), coping behaviors (g = 0.27), and self-efficacy (g = 1.12) at posttreatment than minimal or no treatment control. CONCLUSIONS: Results of the current study provided preliminary support for the effectiveness of CBT on three putative mechanisms of change among individuals experiencing problem gambling and gambling disorder. Although the results were promising, there was significant heterogeneity in the magnitude of effect sizes for all three outcomes, and outcomes were not consistently assessed with psychometrically established assessment tools.

Expectations of How Acute Cannabis Use Affects Gambling Experiences and Behaviors.

Emerging research shows that many individuals commonly consume cannabis while gambling. However, individuals' expectations for how cannabis consumption will impact their gambling behavior remain unknown. Participants who gambled weekly (N = 472) were recruited from Amazon Mechanical Turk and completed assessments of gambling behaviors, cannabis consumption, and expectations about the influence of cannabis on gambling. Almost all participants (94%) screened positive for problem gambling. Over half of participants (55%) reported lifetime cannabis consumption, and almost all those participants (99%) reported gambling under the influence of cannabis (GUIC) in the past month. Most participants agreed with positive expectations of gambling; they expected that they would feel calmer when under the influence of cannabis (61.4%), that gambling would be more enjoyable (61.0%), and that their gambling skills would increase when GUIC (60.6%). At the same time, most participants also agreed with negative expectations of GUIC. They expected cannabis use would make them more careless (56.4%), more anxious (54.8%), and less able to concentrate (53.7%) while gambling. Negative cannabis expectancies were significantly associated with the severity of cannabis consumption. Both positive and negative cannabis expectancies were significantly associated with gambling problems and time spent gambling under the influence of cannabis. These findings indicate that expectations may influence the decision to consume cannabis and gamble simultaneously. This study contributes to the need for addressing cannabis expectations during treatment of gambling problems.

Minimizing measurement error in treatment outcome estimates: A meta-analysis comparing estimates between the gambling timeline followback and other self-report assessments of gambling behavior.

OBJECTIVE: The aim of the current meta-analysis was to examine potential differences in posttreatment effect size estimates for gambling frequency (i.e., the number of days gambled) and gambling expenditure (i.e., the amount of money gambled) when using the gambling timeline followback (G-TLFB) versus other self-report assessments. METHOD: Using an open-access meta-analysis database of studies on cognitive behavioral treatment for gambling disorder, 22 studies representing 2,824 participants were identified for inclusion. Hedges's g effect sizes representing posttreatment differences on gambling frequency and expenditure between cognitive behavioral treatment versus inactive and minimal treatment controls were calculated, and mixed-effect subgroup analyses examined the effect sizes for each outcome between studies using the G-TLFB versus other self-report assessments. RESULTS: Mixed-effect subgroup analyses indicated that the effect size for gambling frequency was significantly lower for studies using the G-TLFB (g = -0.15) than studies using other self-report assessments (g = -0.71). When examining whether the use of the G-TLFB was associated with the posttreatment effect size for gambling frequency in a random-effect metaregression model that controlled for study grant funding status, the use of the G-TLFB was not significantly associated with effect size. The effect size for gambling expenditure was not significantly different between studies using the G-TLFB (g = -0.22) versus studies using other self-report assessments (g = -0.38). CONCLUSIONS: The G-TLFB yields more conservative and precise effect size estimates of posttreatment gambling frequency, but not gambling expenditure, than other self-report assessments. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Prevalence of Cannabis Use Disorder: A Meta-Analysis of Population Surveys.

OBJECTIVE: Epidemiologic surveys aim to estimate the population prevalence of cannabis use and cannabis use disorder. Prevalences estimates are important for understanding trends, such as the impact of policy change. Existing epidemiologic surveys have produced discrepant and potentially unreliable estimates. The current meta-analysis (PROSPERO CRD42022364818) aims to identify potential sources of unreliability in prevalence estimates of cannabis use and use disorder among the general population (aged 12+). There was no specific hypothesis about overall prevalence estimate, but we expected significant variability (i.e., heterogeneity) in estimates based on factors such as country, year of data collection, and specific methodological factors (e.g., diagnostic instrument). METHOD: Systematic searches identified manuscripts and reports documenting nationally representative lifetime or past-year cannabis use disorder prevalence estimates. Meta-analysis was used to synthesize prevalence estimates, evaluate heterogeneity, and test moderators. RESULTS: There were 39 manuscripts/reports included in analyses which resulted in 259 unique prevalence estimates spanning 1980-2013 and an aggregated sample size of 973,281 individuals. Past-year and lifetime prevalence estimates for cannabis use were 12.83% (95% CI: 11.15%, 14.71%) and 38.31% (95% CI: 35.92%, 40.76%) and those for cannabis use disorder were 2.59% (95% CI:2.30%, 2.90%) and 6.77% (95% CI: 4.89%, 9.30%), respectively. There was significant heterogeneity in estimates, which was partially explained by factors such as country, year of data collection, and methodological characteristics. CONCLUSIONS: The significant heterogeneity in prevalence estimates as a function of methodological characteristics raises concerns about the generalizability of estimates. Recommendations for enhancing validity and reliability of these estimates are offered.

Contingency Management for Drug Use Disorders: Meta-Analysis and Application of Tolin's Criteria.

Several professional organizations and federal agencies recommend contingency management (CM) as an empirically supported treatment for drug use disorder. However, the release of the "Tolin criteria" warrants an updated recommendation. Using this methodology, five meta-analyses (84 studies, 11,000 participants) were reviewed. Two meta-analyses were rated moderate quality, and three were rated low or critically low quality. Comparator conditions included active treatment, placebo, treatment as usual, and no treatment. The primary outcome was abstinence. Considering only the moderate quality meta-analyses, the effect of CM versus control on posttreatment abstinence was d = 0.54 [0.43, 0.64] and follow-up abstinence was d=0.08 [0.00, 0.16]. A "strong" recommendation was provided for CM as an empirically supported treatment for drug use disorder.

We Might Have a Sports Gambling Problem and It Is Not What You Think: A Commentary.

The 2018 Supreme Court decision on Murphy v. National Collegiate Athletic Association brought not only a change in the United States commercial gambling landscape, but also considerable speculation across public forums about whether expanded sports gambling causes new, distinct, and greater harm than existing legal forms of gambling. This commentary brings into the focus that the definition of this form of gambling has recently begun to shift without a theoretical basis or empirical evidence. To bring evidence to bear, there is a need for a precise operational definition of sport gambling and greatly clarity to the questions that can drive knowledge generation.

Absolute and relative outcomes of psychotherapies for eight mental disorders: a systematic review and meta-analysis.

Psychotherapies are first-line treatments for most mental disorders, but their absolute outcomes (i.e., response and remission rates) are not well studied, despite the relevance of such information for health care users, providers and policy makers. We aimed to examine absolute and relative outcomes of psychotherapies across eight mental disorders: major depressive disorder (MDD), social anxiety disorder, panic disorder, generalized anxiety disorder (GAD), specific phobia, post-traumatic stress disorder (PTSD), obsessive-compulsive disorder (OCD), and borderline personality disorder (BPD). We used a series of living systematic reviews included in the Metapsy initiative (www.metapsy.org), with a common strategy for literature search, inclusion of studies and extraction of data, and a common format for the analyses. Literature search was conducted in major bibliographical databases (PubMed, PsycINFO, Embase, and the Cochrane Register of Controlled Trials) up to January 1, 2023. We included randomized controlled trials comparing psychotherapies for any of the eight mental disorders, established by a diagnostic interview, with a control group (waitlist, care-as-usual, or pill placebo). We conducted random-effects model pairwise meta-analyses. The main outcome was the absolute rate of response (at least 50% symptom reduction between baseline and post-test) in the treatment and control conditions. Secondary outcomes included the relative risk (RR) of response, and the number needed to treat (NNT). Random-effects meta-analyses of the included 441 trials (33,881 patients) indicated modest response rates for psychotherapies: 0.42 (95% CI: 0.39-0.45) for MDD; 0.38 (95% CI: 0.33-0.43) for PTSD; 0.38 (95% CI: 0.30-0.47) for OCD; 0.38 (95% CI: 0.33-0.43) for panic disorder; 0.36 (95% CI: 0.30-0.42) for GAD; 0.32 (95% CI: 0.29-0.37) for social anxiety disorder; 0.32 (95% CI: 0.23-0.42) for specific phobia; and 0.24 (95% CI: 0.15-0.36) for BPD. Most sensitivity analyses broadly supported these findings. The RRs were significant for all disorders, except BPD. Our conclusion is that most psychotherapies for the eight mental disorders are effective compared with control conditions, but absolute response rates are modest. More effective treatments and interventions for those not responding to a first-line treatment are needed.

The Influence of Gambling on Mood State and Alcohol Cravings.

Several decades of research have experimentally investigated the influence of alcohol on gambling. However, there has been only minimal experimental exploration of how gambling influences alcohol use. The aim of the current project was to evaluate how gambling influenced mood state and alcohol cravings through randomized experimental design when analyzed with comparison conditions.College students (N = 76) who reported regular alcohol use, gambling within the past year, and being college basketball fans were randomly assigned to watch a video of an exciting basketball game, watch a nondysphoric basketball game, watch a movie, or engage in slot machine gambling. Participants who watched exciting sports or engaged in gambling to reported more energized mood states and higher urges to drink compared to those who watched nondysphoric sports or a movie. These results suggest that the context of gambling may prime individuals to want to consume alcohol.

Cognitive-behavioral treatment for gambling harm: Umbrella review and meta-analysis.

The aim of the current umbrella review and meta-analysis was to evaluate the methodological rigor of existing meta-analyses on cognitive-behavioral treatment (CBT) for gambling harm. The Cochrane Database of Systematic Reviews, PsycINFO, and PubMed were searched for meta-analyses of CBT for gambling harm among individuals aged 18 years and older. The search yielded five meta-analyses that met inclusion criteria, representing 56 unique studies and 5389 participants. The methodological rigor for one meta-analyses was rated high, two were moderate, and two were critically low. Including only moderate- to high-quality meta-analyses, a robust variance estimation meta-analysis indicated that CBT significantly reduced gambling disorder severity (g = -0.91), gambling frequency (g = -0.52), and gambling intensity (g = -0.32) relative to minimal and no treatment control at posttreatment, suggesting 65%-82% of participants receiving CBT will show greater reductions in these outcomes than minimal or no treatment controls. Overall, there is strong evidence for CBT in reducing gambling harm and gambling behavior, and this evidence provides individuals, clinicians, managed care companies, and policymakers with clear recommendations about treatment selection.

What was a gap is now a chasm: Remote schooling, the digital divide, and educational inequities resulting from the COVID-19 pandemic.

COVID-19 resulted in the unexpected transition to remote learning for K-12 schools, exacerbating the existing digital divide and impacting the educational outcomes of marginalized youth. This article reviews the literature on the impacts of the pandemic on the educational outcomes of marginalized youth due to remote learning and the digital divide. Here, we provide an overview of the pandemic and remote schooling from an intersectional lens, discuss the impacts of the digital divide on learning for students during the pandemic, and then consider impacts on the delivery of special education supports. Additionally, we review the literature on the widening achievement gap in relation to the COVID-19 pandemic. Future directions for research and practice are discussed.

Effect of cognitive-behavioral techniques for problem gambling and gambling disorder: A systematic review and meta-analysis.

AIMS: To measure the effect of cognitive-behavioral techniques (CBTs) on gambling disorder severity and gambling behavior at post-treatment and follow-up. METHOD: Seven databases and two clinical trial registries were searched to identify peer-reviewed studies and unpublished studies of randomized controlled trials. The Cochrane Risk of Bias tool assessed risk of bias in the included studies. A random effect meta-analysis with robust variance estimation was conducted to measure the effect of CBTs relative to minimally treated or no treatment control groups. RESULTS: Twenty-nine studies representing 3991 participants were identified. CBTs significantly reduced gambling disorder severity (g = -1.14, 95% CI = -1.68, -0.60, 95% prediction interval [PI] = -2.97, 0.69), gambling frequency (g = -0.54, 95% CI = -0.80, -0.27, 95% PI = -1.48, 0.40) and gambling intensity (g = -0.32, 95% CI = -0.51, -0.13, 95% PI = -0.76, 0.12) at post-treatment relative to control. CBTs had no significant effect on follow-up outcomes. Analyses supported the presence of publication bias and high heterogeneity in effect size estimates. CONCLUSIONS: Cognitive-behavioral techniques are a promising treatment for reducing gambling disorder and gambling behavior; however, the effect of cognitive-behavioral techniques on gambling disorder severity and gambling frequency and intensity at post-treatment is overestimated, and cognitive-behavioral techniques may not be reliably efficacious for all individuals seeking treatment for problem gambling and gambling disorder.

Contrasting the Effects of Alcohol and Alcohol Expectancies on Gambling Behavior.

The influence of alcohol on risk-taking may be through both pharmacological action and individual expectancies. A recent meta-analysis highlighted the need for evidence about the precise role of alcohol expectations on individuals' gambling behavior while under the influence of alcohol and a need to understand what specific gambling behaviors are influenced. This laboratory study investigated the effects of alcohol consumption and alcohol expectancies on gambling behavior in a sample of young adult men. Thirty-nine participants were randomly assigned to one of three experimental conditions in which they consumed alcohol, alcohol-placebo, or no-alcohol beverages and then played a computerized roulette game. The roulette game provided each participant with the same pattern of wins and losses and recorded gambling behavior including wagers made, number of spins, and final dollar amount remaining. Significant main effects were found between conditions on total number of spins with the alcohol and alcohol-placebo groups gambling significantly more than the no-alcohol group. The alcohol and alcohol-placebo groups were not statistically different. These findings support that individuals' expectations play an important role in understanding the effects of alcohol consumption on gambling; this effect may be primarily associated with persistence in wagering.

Relative and Interactive Associations of Psychosocial Intervention and Alcoholics Anonymous Attendance With Alcohol Use Disorder Outcomes.

OBJECTIVE: Psychosocial intervention and Alcoholics Anonymous (AA)/mutual help organization attendance are both associated with alcohol use disorder (AUD) outcomes. However, no research has explored the relative or interactive associations of psychosocial intervention and AA attendance with AUD outcomes. METHOD: This was a secondary analysis of data from the Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity) outpatient arm participants (N = 952), who were randomly assigned to complete 12-session cognitive-behavioral therapy (CBT, n = 301), 12-session 12-step facilitation (TSF, n = 335), or 4-session motivational enhancement therapy (MET, n = 316). Regression analyses tested the association of psychosocial intervention attendance only, AA attendance only (measured as past-90-day attendance immediately after psychosocial intervention, as well as 1 and 3 years after intervention), and their interaction with the percentage of drinking days and percentage of heavy drinking days after intervention, 1 year after intervention, and 3 years after intervention. RESULTS: When accounting for AA attendance and other variables, attending more psychosocial intervention sessions was consistently associated with fewer drinking days and heavy drinking days after intervention. AA attendance was consistently associated with a lower percentage of drinking days at 1 and 3 years after intervention, when accounting for psychosocial intervention attendance and other variables. Analyses failed to identify an interaction between psychosocial intervention attendance and AA attendance with AUD outcomes. CONCLUSIONS: Psychosocial intervention and AA attendance are robustly associated with better AUD outcomes. Replication studies comprising samples of individuals who attend AA more than once per week are needed to further test the interactive association of psychosocial intervention attendance and AA attendance with AUD outcomes.

Effects of cognitive behavioral techniques for gambling on recovery defined by gambling, psychological functioning, and quality of life: A systematic review and meta-analysis.

OBJECTIVE: Individuals who experience gambling harms report that sustained recovery involves changing both gambling behaviors and psychological symptoms, as well as building a meaningful life. However, there is limited understanding about the effect of cognitive behavioral (CB) techniques on psychological symptoms and quality of life. The purpose of the present study was to examine the effect of CB techniques for gambling-related harms on broader recovery outcomes such as psychological symptoms and quality of life. METHOD: A systematic article search was conducted to identify randomized controlled trials of CB techniques with nonactive and minimal treatment control groups that assessed psychological symptoms or quality of life as outcomes. Random-effects meta-analysis was used to examine the effect of CB techniques relative to nonactive and minimal treatment control groups. RESULTS: A total of nine studies representing 658 participants were included. Eight studies reported outcomes on depression and anxiety, three on substance use, and six on quality of life. CB techniques significantly reduced anxiety (g = -0.44) and depression (g = -0.35) at posttreatment, but not substance use. CB techniques also significantly increased quality of life at posttreatment (g = 0.40). There was a large amount of heterogeneity suggesting the magnitude of effects could vary significantly in future randomized trials. CONCLUSIONS: Future studies should examine the longitudinal associations between gambling harms, psychological symptoms, and quality of life and to assess whether changes in gambling harms throughout treatment precede or are a consequence of changes in psychological symptoms and quality of life. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using machine learning to examine predictors of treatment goal change among individuals seeking treatment for alcohol use disorder.

INTRODUCTION: The goals of individuals seeking treatment for alcohol use disorder (AUD) are typically quantified as abstinent or nonabstinent (e.g., moderate drinking) goals. However, treatment goals can vary over time and be influenced by life circumstances. This study aims to identify predictors of treatment goal change and direction of change from baseline to six-month follow-up among individuals seeking treatment for AUD. METHODS: This study is a secondary analysis of data from the Relapse Replication and Extension Project. The study included participants who completed assessments at baseline and six-month follow-up in the analysis (n = 441). We used decision trees to examine 111 potential predictors of treatment goal change. The study cross-validated results using random forests. The team examined changes in goal between baseline and follow-up (Decision Tree 1) and quantified them as being toward or away from a complete abstinence goal (Decision Tree 2). RESULTS: Nearly 50 % of the sample changed their treatment goal from baseline to 6 months, and 68.7 % changed from a nonabstinence goal toward a complete abstinence goal. The study identified seven unique predictors of goal change. The most common predictors of changing a treatment goal were number of recent treatment sessions prior to enrolling in the study, other substance use, negative affect, anxiety, social support, and baseline drinks per drinking day. Participants with a greater number of recent treatment sessions and who sought social support were most likely to change their goal. Additionally, individuals with more substance use tended to change away from complete abstinence goals. Cross-validation supported baseline drinks per drinking day, social support, baseline maximum blood alcohol concentration (BAC), lifetime tobacco use, baseline average BAC, lifetime cocaine use, Inventory of Drinking Situations total score, and Situational Confidence Questionnaire average score as important predictors. CONCLUSIONS: This study identified seven unique predictors of treatment goal change while in AUD treatment. Prior treatment, drinking to cope, and social support were most associated with goal changes. This information can inform providers who seek to understand factors associated with treatment goal selection and changes in goals during treatment.

Text Comprehension Analyses to Improve Assessment Accuracy: Demonstration Using Gambling Disorder Screening.

Many individuals diagnosed with an addictive disorder are members of disadvantaged groups and obtain a high school education or less, yet self-report questionnaires widely used to identify symptoms of addictive disorders do not use best practices to ensure item clarity and comprehension. In the present study, we explore how advanced text-analysis technology can be used to guide the development of a diagnostic questionnaire with an emphasis on maximizing its readability and then test the accuracy of this questionnaire. In Study 1, a self-report questionnaire for symptoms of gambling disorder was created using best practices for item clarity and comprehension. In study 2 an experimental design was used to test whether the measure with enhanced readability, compared to a commonly used screening instrument, improved diagnostic symptom accuracy among samples of high school and college educated individuals. Subsequent analyses revealed that education was positively related to item comprehension, and participants who completed the maximized readability questionnaire correctly identified more symptoms of gambling disorder than participants who completed the comparison questionnaire, regardless of educational attainment. These studies indicate that the rate at which individuals accurately identify symptoms of psychopathology is strongly related to their educational attainment and the readability of the questionnaire items themselves.

Mechanisms of Behavior Change in Substance Use Disorder With and Without Formal Treatment.

This article provides a narrative review of studies that examined mechanisms of behavior change in substance use disorder. Several mechanisms have some support, including self-efficacy, craving, protective behavioral strategies, and increasing substance-free rewards, whereas others have minimal support (e.g., motivation, identity). The review provides recommendations for expanding the research agenda for studying mechanisms of change, including designs to manipulate putative change mechanisms, measurement approaches that expand the temporal units of analysis during change efforts, more studies of change outside of treatment, and analytic approaches that move beyond mediation tests. The dominant causal inference approach that focuses on treatment and individuals as change agents could be expanded to include a molar behavioral approach that focuses on patterns of behavior in temporally extended environmental contexts. Molar behavioral approaches may advance understanding of how recovery from substance use disorder is influenced by broader contextual features, community-level variables, and social determinants of health.