Search

Background and objectives Patients receiving opioid agonist therapies have high rates of psychiatric comorbidity. Some data suggest that comorbidity is associated with poorer treatment outcomes. The current study assessed predictors of multiple putative addictive behaviors among patients receiving opioid agonist therapies. Methods Adults (N = 176) recruited from an outpatient clinic providing opioid agonist therapy completed self-report measures of depression, anxiety, impulsivity, adverse childhood events, and the Recognizing Addictive Disorders (RAD) scale, which includes seven subscales assessing symptoms related to alcohol use, drug use, tobacco use, gambling, binge-eating, hypersexual behavior, and excessive video-gaming. Linear regression and hurdle models identified significant predictors of RAD subscales. Hurdle models included logistic regression estimation for the presence/absence of symptoms and negative binomial regression for estimation of the severity of symptoms. Results Most patients did not report significant symptoms beyond drug or tobacco use. However, 7% to 47% of participants reported some symptoms of other addictive behaviors (subscale score > 0). Higher impulsivity predicted the presence and/or increased severity of symptoms of drug use, gambling, binge-eating, and hypersexuality. Higher depression significantly predicted increased severity of drug use and binge-eating symptoms. Increased anxiety predicted lower severity of alcohol use and binge-eating and higher severity of smoking symptoms. Conclusion and scientific significance A broader range of potentially addictive symptoms may be present among patients engaged in treatment for opioid use disorder. Few studies have assessed symptoms of binge-eating, hypersexuality, and excessive video-gaming among patients receiving opioid agonist therapy. This study contributes to preliminary findings and highlights important future directions. (Am J Addict 2021;00:00-00).

Background and objectives Regular cannabis users experience cannabis-related consequences across many domains of functioning. The present study examined demographic, cannabis use, and depressive correlates of cannabis consequences. We hypothesized that (1) earlier onset of use would predict greater psychological and functional consequences; and (2) women would endorse more psychological and withdrawal consequences. Methods Data were collected from an urban sample of 184 adults who reported regular cannabis use. Seventeen items from a cannabis consequence checklist were grouped into three domains: Psychological Consequences, Cannabis Withdrawal, and Functional Consequences. Three multiple regressions were performed to explore demographic and cannabis use correlates of each domain. Correlations between domains and depressive symptoms were assessed using Pearson's r. Results Greater endorsement on the Psychological Consequence subgroup was predicted by female sex, lower educational attainment, and treatment-seeking history for cannabis abuse/dependence. Individuals with greater number of quit attempts or treatment-seeking history endorsed more items in the Cannabis Withdrawal domain. Although the model failed to reach significance for Functional Consequences, age at onset of regular and daily cannabis use were negatively associated with this domain. Correlational analyses demonstrated higher Beck Depression Inventory-Second Edition scores were related to greater endorsement of Psychological Consequence and Cannabis Withdrawal items. Discussion and conclusions Regular cannabis users report consequences of use, which can be grouped into content-specific subgroups. Individual characteristics are differentially associated with these subgroups. Scientific significance Understanding which individual characteristics are related to cannabis use sequelae could help identify those at risk for greater consequences, thus leading to improved assessment and treatment interventions. (Am J Addict 2019;28:295-302).

Background and objectives High rates of suicidal ideation and attempts secondary to gambling are well established among those with gambling disorders. The present study explores potential risk factors for suicidal ideation and/attempt among a sample of help-line callers. Methods Participants (N = 202) completed measures assessing demographics; gambling behavior; and financial, family/social, employment, substance use, and legal difficulties related to gambling. Bivariate analyses, logistic regression, and mediation analyses were used to explore relationship between predictors and risk of suicidal ideation and attempt. Results Female gender, gambling severity (including engagement in illegal behaviors), a history of mental health problems, financial problems, and conflict related to gambling were associated with current suicidality in this sample. Mediation analyses revealed that financial problems were associated with increased familial conflict, which was in turn associated with increased suicidality. Conclusions Family and social conflict may be one important way in which financial problems confer risk for suicidality among problem gamblers. These results align with findings from the substance use disorder (SUD) literature and highlight one potential factor that may merit further assessment and/or intervention. Scientific significance Researchers and clinicians may want to consider the overall level of conflict a patient is experiencing when assessing suicide risk among individuals with gambling problems. Professionals may also want to consider the suitability of interventions to address conflict within the context of gambling treatment. (Am J Addict 2018;27:531-537).