Development of the motivational thought frequency scale for alcohol abstinence (MTF-A).

BACKGROUND AND AIMS: For most treatment-seeking patients with severe Alcohol Use Disorder (AUD), abstinence is the clinically indicated goal. Existing AUD motivation scales are non-specific about treatment consumption goals, which limit their effectiveness. Desires and mental imagery are relevant in the motivation for AUD treatment engagement. The Motivational Thought Frequency Scale for an abstinence goal (MTF-A) was adapted from the MTF for controlled drinking (MTF-CD). This study psychometrically evaluated the MTF-A in an alcohol-dependent sample engaged in treatment with a goal of abstinence. To enhance the clinical utility of the scale, a secondary aim was to evaluate a psychometrically equivalent short version of the MTF-A. METHOD: A sample N of 329 treatment-seeking patients with AUD (mean age of 44.44 years, SD = 11.89 years, 72% male) who were undertaking a cognitive behavioral treatment (CBT) program for abstinence completed the Motivational Thought Frequency Scale for Abstinence (MTF-A) and the Severity of Alcohol Dependence Questionnaire (SADQ). The MTF-A measured motivation for abstinence through four factors: intensity, self-efficacy imagery, incentives imagery, and availability. Confirmatory factor analyses (CFAs) were conducted to examine factor structure and model fit. Cronbach's alpha assessed internal consistency. Predictive validity was determined by logistic regression predicting first-session treatment non-attendance and alcohol consumption between baseline assessment and commencement of treatment, controlling for potential confounds. RESULTS: A four-factor structure provided the best fit for the MTF-A, compared with one- and three-factor models. A shortened 9-item MTF-A scale (S-MTF-A) provided better fit than the 13-item MTF-A scale. Both MTF-A and S-MTF-A displayed good internal consistency. Although both MTF-A and S-MTF-A successfully predicted first-session treatment non-attendance, neither predicted alcohol consumption between the baseline assessment and commencement of treatment. CONCLUSIONS: The model fit of the four-factor, 9-item S-MTF-A was superior to the original 13-item MTF-A. Both scales were predictive of participation of AUD treatment. Desires and mental imagery play an important role in AUD treatment motivation.

Relationship between alcohol craving dimensions and features of comorbid mental health in an alcohol dependent sample.

BACKGROUND AND AIMS: Negative affect and alcohol craving are common features of Alcohol Use Disorder (AUD). Both independently contribute to AUD severity and poorer treatment outcomes, but their relationship is poorly understood. Multidimensional alcohol craving measures now allow for examination of key dimensions of craving. This study explored the relationship between depression, anxiety, stress, and the alcohol craving dimensions of intensity, imagery and intrusiveness. METHOD: Five-hundred and twenty-five treatment seeking AUD patients (mean age of 39.79 years, SD = 11.57 years, 67% male) completed the Depression Anxiety Stress Scales (DASS), Alcohol Use Disorder Identification Test-Consumption items (AUDIT-C), and Alcohol Craving Experience (ACE-F) questionnaire, which measured the frequency of craving intensity, imagery and intrusiveness. Regression models predicted main effects of predictors and moderation by alcohol consumption. RESULTS: Higher levels of stress were independently associated with increased craving intensity, imagery and intrusiveness. Significant positive associations were also found between anxiety and craving imagery. The association between depression and craving was not significant after controlling for other predictors. CONCLUSIONS: AUD patients experienced higher cravings when stressed and greater imagery when anxious. These results support the need to consider the relationships between stress and craving when managing alcohol dependence.

Precision Mental Health Care for Cannabis Use Disorder: Utility of a bioSocial Cognitive Theory to Inform Treatment.

Globally, cannabis is the most frequently used controlled substance after alcohol and tobacco. Rates of cannabis use are steadily increasing in many countries and there is emerging evidence that there is likely to be greater risk due to increased concentrations of delta-9-tetrahydrocannabinol (THC). Cannabis use and Cannabis Use Disorder (CUD) has been linked to a wide range of adverse health outcomes. Several biological, psychological, and social risk factors are potential targets for effective evidence-based treatments for CUD. There are no effective medications for CUD and psychological interventions are the main form of treatment. Psychological treatments based on Social Cognitive Theory (SCT) emphasize the importance of targeting 2 keys psychological mechanisms: drug outcome expectancies and low drug refusal self-efficacy. This mini-review summarizes the evidence on the role of these mechanisms in the initiation, maintenance, and cessation of cannabis use. It also reviews recent evidence showing how these psychological mechanisms are affected by social and biologically-based risk factors. A new bioSocial Cognitive Theory (bSCT) is outlined that integrates these findings and implications for psychological cannabis interventions are discussed. Preliminary evidence supports the application of bSCT to improve intervention outcomes through better targeted treatment.

Young adults' sexual health in the digital age: Perspectives of care providers.

OBJECTIVES: This study examined care providers' views on young people's sexual health in the digital age. Young people have high rates of sexually transmitted infections (STIs), indicating sexual risk-taking behaviours. Adolescents transitioning to adulthood may be particularly at risk due to increased sexual behaviour and exposure to risk factors for unsafe sex, such as less parental monitoring. These risks may be accentuated in the digital age, where the availability of dating apps and pornography have potentially influenced young people's sexual behaviours. Care providers give a unique insight into sexual health in the digital age as they are able to identify changes over time. STUDY DESIGN: Qualitative semi-structured interviews were conducted with general practitioners, nurses, counsellors and university residential college staff (N = 15, six female) who work with young people aged 17 and 18. Interviews took 20-40 min, and were recorded and transcribed verbatim. Transcripts were coded by the primary researcher and an independent coder using thematic analysis. RESULTS: We identified four themes depicting predictors for sexual risk-taking among young people: media influence on norms (influence on sexual behaviours, relationships and appearance), transition to adulthood (independence, social opportunity), communication difficulties (gender and sexuality differences, greater fear of pregnancy than STIs), and impulsive behaviour (disinhibition, substance use). CONCLUSION: Findings highlight targets for prevention of sexual risk-taking among adolescents, such as addressing changing norms depicted in media. Further, the complex interplay of contextual and individual factors highlights the need for more comprehensive theory and holistic approaches to STI prevention.

Additive effectiveness of mindfulness meditation to a school-based brief cognitive-behavioral alcohol intervention for adolescents.

OBJECTIVE: This randomized controlled trial is the 1st study to evaluate the additive efficacy of mindfulness meditation to brief school-based universal cognitive behavior therapy (CBT + MM) for adolescent alcohol consumption. Previous studies have lacked strong controls for nonspecific effects, and treatment mechanisms remain unclear. The present study compared a CBT + MM condition to an active control CBT intervention with progressive muscle relaxation (CBT + PMR) for nonspecific effects and an assessment-only control (AoC). METHOD: Cluster sampling was used to recruit Australian adolescents (N = 404; 62% female) ages 13-17 years (M = 14.99, SD = .66) of mostly Australian-New Zealand or European descent. School classes were randomized to 3 intervention conditions (CBT + PMR = 8 classes, CBT + MM = 7 classes, AoC = 7 classes), and adolescents completed preintervention, postintervention, and 3- and 6-month follow-up assessments, including measures of alcohol consumption, mindfulness, impulsivity, and the alcohol-related cognitions of alcohol expectancies and drinking refusal self-efficacy. RESULTS: Multilevel modeling analyses revealed that both intervention conditions reduced the growth of alcohol consumption compared to the AoC (b = -.18, p = .014), although CBT + MM was no more effective than was CBT + PMR (b = -.06, p = .484). Negative alcohol expectancies increased for adolescents in the intervention conditions compared to the AoC (b = 1.09, p = .012), as did positive alcohol expectancies (b = 1.30, p = .008). There was no effect of interventions on mindfulness, drinking refusal self-efficacy, or impulsivity. CONCLUSIONS: There was no evidence of mindfulness-specific effects beyond existing effects of CBT within a brief universal school-based CBT intervention. Hypothesized mechanisms of change were largely unsupported. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Cuing both positive and negative episodic foresight reduces delay discounting but does not affect risk-taking.

Humans frequently create mental models of the future, allowing outcomes to be inferred in advance of their occurrence. Recent evidence suggests that imagining positive future events reduces delay discounting (the devaluation of reward with time until its receipt), while imagining negative future events may increase it. Here, using a sample of 297 participants, we experimentally assess the effects of cued episodic simulation of positive and negative future scenarios on decision-making in the context of both delay discounting (monetary choice questionnaire) and risk-taking (balloon-analogue risk task). Participants discounted the future less when cued to imagine positive and negative future scenarios than they did when cued to engage in control neutral imagery. There were no effects of experimental condition on risk-taking. Thus, although these results replicate previous findings suggesting episodic future simulation can reduce delay discounting, they indicate that this effect is not dependent on the valence of the thoughts, and does not generalise to all other forms of "impulsive" decision-making. We discuss various interpretations of these results, and suggest avenues for further research on the role of prospection in decision-making.

Testing the biosocial cognitive model of substance use in cannabis users referred to treatment.

BACKGROUND: The bioSocial Cognitive Theory (bSCT) hypothesizes two pathways linking dimensions of impulsivity to substance use. The first predicts that the association between reward sensitivity and substance use is mediated by positive outcome expectancies. The second predicts that the relationship between rash impulsiveness and substance use is mediated by refusal self-efficacy. This model has received empirical support in studies of alcohol use. The present research provides the first application of bSCT to a cannabis treatment population and aims to extend its utility to understanding cannabis use and severity of dependence. DESIGN: 273 patients referred for cannabis treatment completed a clinical assessment that contained measures of interest. SETTING: A public hospital alcohol and drug clinic. MEASUREMENTS: The Sensitivity to Reward Scale, Dysfunctional Impulsivity Scale, Cannabis Expectancy Questionnaire, Cannabis Refusal Self-Efficacy Questionnaire and Severity of Dependence Scale-Cannabis were completed, along with measures of cannabis consumption. FINDINGS: The bSCT model provided a good fit to the data for cannabis use and severity of dependence outcomes. The association between reward sensitivity and each cannabis outcome was fully mediated by positive cannabis expectancies and cannabis refusal self-efficacy. The relationship between rash impulsiveness and each cannabis outcome was fully mediated by cannabis refusal self-efficacy. CONCLUSIONS: Findings support the application of the bSCT model to cannabis use and dependence severity and highlight the important role of social cognitive mechanisms in understanding the association between impulsivity traits and these outcomes. The differential association of impulsivity traits to social cognition may assist targeted treatment efforts.

The influence of episodic foresight on delay discounting and demand for alcohol.

BACKGROUND: There is a near-universal tendency to discount the value of delayed rewards relative to those available in the here and now. The rate at which future rewards become devalued over time, delay discounting, is an important individual difference variable related to impulsivity and is elevated in externalising disorders, including alcohol use disorders. Recent research suggests that vividly imagining personally relevant future events (episodic foresight) during an intertemporal choice task can attenuate the rate at which delayed rewards are discounted. OBJECTIVES: The present study sought to extend these findings by examining the effect of episodic foresight on both delay discounting and alcohol-related decision-making. METHODS: Forty-eight college students were administered both modified intertemporal choice and hypothetical alcohol purchase tasks during which personally relevant episodic future event cues or control imagery cues were presented. RESULTS: Engaging in episodic foresight reduced both the rate at which delayed monetary rewards were discounted and initial alcohol demand intensity (but not other demand indices) relative to control imagery. CONCLUSIONS: Findings suggest that the attenuating effect of episodic foresight on impulsivity may be limited to particular aspects of impulsive choice.

Social cognitive predictors of treatment outcome in cannabis dependence.

BACKGROUND: Drug-related outcomes expectancies and refusal self-efficacy are core components of Social Cognitive Theory. Both predict treatment outcome in alcohol use disorders. Few studies have reported expectancies and refusal self-efficacy in cannabis dependence. None have examined both, although both constructs are key targets in Cognitive-Behavioural Therapy (CBT). This study tests the predictive role of expectancies and refusal self-efficacy in treatment outcome for cannabis dependence. DESIGN: Outpatients completed a comprehensive assessment when commencing cannabis treatment and predictors of treatment outcome were tested. SETTING: A university hospital alcohol and drug outpatient clinic. PARTICIPANTS: 221 cannabis-dependent patients participated in a 6-week CBT program where the goal was abstinence. MEASUREMENTS: Cannabis Expectancy Questionnaire and Cannabis Refusal Self-Efficacy Questionnaire, cannabis dependence severity [Severity of Dependence Scale], psychological distress [General Health Questionnaire] at baseline; the timeline follow-back procedure at baseline and each session. FINDINGS: Patients reporting lower confidence in their ability to resist cannabis during high negative affect (emotional relief refusal self-efficacy) had a lower likelihood of abstinence (p=0.004), more days of use (p<0.001), and larger amount used (p<0.001). Negative cannabis expectancies predicted greater likelihood of abstinence (p=0.024). Higher positive expectancies were associated with lower emotional relief self-efficacy, mediating its association with outcome (p<0.001). CONCLUSIONS: Emotional relief refusal self-efficacy and negative expectancies are predictive of better treatment outcomes for cannabis dependence. Positive expectancies may indirectly predict poorer outcome because of a negative association with self-efficacy, but this conclusion remains tentative as directionality could not be established.

Treatment seeking in cannabis dependence: The role of social cognition.

BACKGROUND AND AIMS: Relatively few cannabis dependent individuals seek treatment and little is known about the determinants of treatment seeking. Social Cognitive Theory (SCT) provides a useful framework for examining human behaviour and motivation which may be helpful in explaining treatment seeking. This study examined the differences in cannabis outcome expectancies and cannabis refusal self-efficacy between treatment seekers and non-treatment seekers with cannabis dependence. DESIGN: Non-treatment seekers were referred to an illicit drug diversion program. Treatment seekers commenced an outpatient cannabis treatment program and completed a comprehensive assessment that included measures of cannabis outcome expectancies and refusal self-efficacy. SETTING: A public hospital alcohol and drug outpatient clinic. PARTICIPANTS: 269 non-treatment seekers and 195 individuals commencing cannabis dependence treatment. MEASUREMENTS: The Cannabis Expectancy Questionnaire (CEQ), Cannabis Refusal Self-Efficacy Questionnaire (CRSEQ), Severity of Dependence Scale - Cannabis (SDS-C), General Health Questionnaire (GHQ-28) and Readiness to Change Questionnaire (RTC) were completed. FINDINGS: Treatment seekers had significantly higher levels of negative cannabis outcome expectancies and significantly lower levels of emotional relief refusal self-efficacy (belief in ability to resist using cannabis when experiencing negative affect) (ps<0.001). Treatment seekers had significantly higher levels of psychological distress and self-perceived cannabis dependence compared to non-treatment seekers (ps<0.001). CONCLUSIONS: High negative cannabis outcome expectancies and low emotional relief refusal self-efficacy may play a key role in motivation to seek treatment.

The relationship between cannabis outcome expectancies and cannabis refusal self-efficacy in a treatment population.

BACKGROUND AND AIMS: Self-efficacy beliefs and outcome expectancies are central to Social Cognitive Theory (SCT). Alcohol studies demonstrate the theoretical and clinical utility of applying both SCT constructs. This study examined the relationship between refusal self-efficacy and outcome expectancies in a sample of cannabis users, and tested formal mediational models. DESIGN: Patients referred for cannabis treatment completed a comprehensive clinical assessment, including recently validated cannabis expectancy and refusal self-efficacy scales. SETTING: A hospital alcohol and drug out-patient clinic. PARTICIPANTS: Patients referred for a cannabis treatment [n = 1115, mean age 26.29, standard deviation (SD) 9.39]. MEASUREMENTS: The Cannabis Expectancy Questionnaire (CEQ) and Cannabis Refusal Self-Efficacy Questionnaire (CRSEQ) were completed, along with measures of cannabis severity [Severity of Dependence Scale (SDS)] and cannabis consumption. FINDINGS: Positive (ß = -0.29, P < 0.001) and negative (ß = -0.19, P < 0.001) cannabis outcome expectancies were associated significantly with refusal self-efficacy. Refusal self-efficacy, in turn, fully mediated the association between negative expectancy and weekly consumption [95% confidence interval (CI) = 0.03, 0.17] and partially mediated the effect of positive expectancy on weekly consumption (95% CI = 0.06, 0.17). CONCLUSIONS: Consistent with Social Cognitive Theory, refusal self-efficacy (a person's belief that he or she can abstain from cannabis use) mediates part of the association between cannabis outcome expectancies (perceived consequences of cannabis use) and cannabis use.

Alcohol consumption in young adults: the role of multisensory imagery.

Little is known about the subjective experience of alcohol desire and craving in young people. Descriptions of alcohol urges continue to be extensively used in the everyday lexicon of young, non-dependent drinkers. Elaborated Intrusion (EI) Theory contends that imagery is central to craving and desires, and predicts that alcohol-related imagery will be associated with greater frequency and amount of drinking. This study involved 1535 age stratified 18-25 year olds who completed an alcohol-related survey that included the Imagery scale of the Alcohol Craving Experience (ACE) questionnaire. Imagery items predicted 12-16% of the variance in concurrent alcohol consumption. Higher total Imagery subscale scores were linearly associated with greater drinking frequency and lower self-efficacy for moderate drinking. Interference with alcohol imagery may have promise as a preventive or early intervention target in young people.

Polysubstance use in cannabis users referred for treatment: drug use profiles, psychiatric comorbidity and cannabis-related beliefs.

BACKGROUND: Population-based surveys demonstrate cannabis users are more likely to use both illicit and licit substances, compared with non-cannabis users. Few studies have examined the substance use profiles of cannabis users referred for treatment. Co-existing mental health symptoms and underlying cannabis-related beliefs associated with these profiles remains unexplored. METHODS: Comprehensive drug use and dependence severity (Severity of Dependence Scale-Cannabis) data were collected on a sample of 826 cannabis users referred for treatment. Patients completed the General Health Questionnaire, Cannabis Expectancy Questionnaire, Cannabis Refusal Self-Efficacy Questionnaire, and Positive Symptoms and Manic-Excitement subscales of the Brief Psychiatric Rating Scale. Latent class analysis was performed on last month use of drugs to identify patterns of multiple drug use. Mental health comorbidity and cannabis beliefs were examined by identified drug use pattern. RESULTS: A three-class solution provided the best fit to the data: (1) cannabis and tobacco users (n = 176), (2) cannabis, tobacco, and alcohol users (n = 498), and (3) wide-ranging substance users (n = 132). Wide-ranging substance users (3) reported higher levels of cannabis dependence severity, negative cannabis expectancies, lower opportunistic, and emotional relief self-efficacy, higher levels of depression and anxiety and higher manic-excitement and positive psychotic symptoms. CONCLUSION: In a sample of cannabis users referred for treatment, wide-ranging substance use was associated with elevated risk on measures of cannabis dependence, co-morbid psychopathology, and dysfunctional cannabis cognitions. These findings have implications for cognitive-behavioral assessment and treatment.

Development and validation of the cannabis refusal self-efficacy questionnaire (CRSEQ) in adult cannabis users in treatment.

BACKGROUND: There are few valid clinical assessment instruments for cannabis. Self-efficacy, or the ability of users to resist temptation, is a central feature of social cognitive theory. This study outlines the development and validation of the cannabis refusal self-efficacy questionnaire (CRSEQ), which measures the situational confidence to refuse cannabis. METHOD: One thousand two hundred and forty-six patients referred for cannabis assessment completed the CRSEQ including measures of cannabis consumption and dependence severity (severity of dependence scale-cannabis, SDS-C). The CRSEQ was subject to independent exploratory (n=621, mean age 26.88, 78.6% male) and confirmatory (n=625, mean age 27.51, 76.8% male) factor analysis. RESULTS: Three factors: Emotional Relief, Opportunistic and Social Facilitation were identified. They provided a good statistical and conceptual fit for the data. Emotional relief cannabis refusal self-efficacy was identified as most predictive of cannabis dependence, after controlling for cannabis consumption. CONCLUSIONS: The CRSEQ is recommended as a psychometrically sound and clinically useful measure for cannabis misuse treatment planning and assessment.

Validation of the Cannabis Expectancy Questionnaire (CEQ) in adult cannabis users in treatment.

BACKGROUND: Outcome expectancies are a key cognitive construct in the etiology, assessment and treatment of Substance Use Disorders. There is a research and clinical need for a cannabis expectancy measure validated in a clinical sample of cannabis users. METHOD: The Cannabis Expectancy Questionnaire (CEQ) was subjected to exploratory (n=501, mean age 27.45, 78% male) and confirmatory (n=505, mean age 27.69, 78% male) factor analysis in two separate samples of cannabis users attending an outpatient cannabis treatment program. Weekly cannabis consumption was clinically assessed and patients completed the Severity of Dependence Scale-Cannabis (SDS-C) and the General Health Questionnaire (GHQ-28). RESULTS: Two factors representing Negative Cannabis Expectancies and Positive Cannabis Expectancies were identified. These provided a robust statistical and conceptual fit for the data. Internal reliabilities were high. Negative expectancies were associated with greater dependence severity (as measured by the SDS) and positive expectancies with higher consumption. The interaction of positive and negative expectancies was consistently significantly associated with self-reported functioning across all four GHQ-28 scales (Somatic Concerns, Anxiety, Social Dysfunction and Depression). Specifically, within the context of high positive cannabis expectancy, higher negative expectancy was predictive of more impaired functioning. By contrast, within the context of low positive cannabis expectancy, higher negative expectancy was predictive of better functioning. CONCLUSIONS: The CEQ is the first cannabis expectancy measure to be validated in a sample of cannabis users in treatment. Negative and positive cannabis expectancy domains were uniquely associated with consumption, dependence severity and self-reported mental health functioning.