Profiles of patients with cocaine and alcohol use disorder based on cognitive domains and their relationship with relapse

Comparison of Emotional Processing Between Patients with Substance Use Disorder and Those with Dual Diagnosis: Relationship with Severity of Dependence and Use During Treatment

This study analyzed, in a Spanish sample, the differences in emotional processing in patients diagnosed with substance use disorder (SUD) and patients with a dual diagnosis (DD), and tested whether alterations in emotional regulation were related to the severity of dependence and consumption during treatment. A descriptive follow-up study was conducted with 88 adult outpatients (83% men) who were receiving treatment for alcohol and cocaine SUD. Of the sample, 43.2% presented dual diagnosis according to DSM-IV-TR criteria. Emotional processing was assessed with the IAPS, and dependence severity with the SDSS. Consumption was determined with self-reports and toxicological tests. Regression analyses revealed that the DD group had more difficulties in identifying the valence and arousal of the images than patients with SUD. Patients with DD presented more difficulty in identifying images in which valence was manipulated, but not in those in which arousal was manipulated. Cocaine use during treatment was associated with difficulties in identifying unpleasant (U = 734.0; p < .05) and arousing (U = 723.5; p < .05) images. Although these results are preliminary, findings suggest that impaired emotional processing is aggravated in dual patients, although it may be a common transdiagnostic factor in SUD and other comorbid mental disorders. Findings highlight the importance of evaluating emotional regulation to better understand its possible role in the maintenance of substance use.

Prevalence, demographics, and cognitive dysfunction among methamphetamine-dependent individuals with childhood maltreatment

Previous studies have shown that dependent individuals (DIs) have higher rates of childhood maltreatment and poorer cognitive performance compared with healthy controls. However, little attention has been paid to the cognitive dysfunction of DIs with childhood maltreatment. The purpose of this study was to explore the cognitive deficits of maltreated methamphetamine-dependent individuals (METH-DIs) using a cross-sectional and case-control design. In addition, we aimed to examine the prevalence of childhood maltreatment and the demographic and clinical characteristics of Chinese male METH-DIs. 330 METH-DIs and 143 healthy controls were recruited and completed a detailed questionnaire on demographic and drug-related variables. Childhood abuse data were collected from the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Cognitive function was assessed by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The Beck Depression Inventory, Beck Anxiety Inventory, and Visual Analogue Scale (VAS) were used to assess the clinical state of the METH-DIs. 166 of 326 (50.9%) METH-DIs had experienced at least one type of childhood maltreatment. Maltreated METH-DIs were more likely to have a lower level of education (t₃₂₄ = 5.81, p < 0.001), a higher level of depression(t₃₂₄ = －2.68, p < 0.01), and a younger onset age of drug use (t₃₂₄ = 3.58, p < 0.01) than METH-DIs who had no experience of childhood maltreatment. Maltreated METH-DIs also performed worse on the RBANS attention score than METH-DIs who did not experience maltreatment (F_1,324 = 15.41, p < 0.001, partial η² = 0.05). Our findings revealed that some demographic and clinical variables were associated with maltreatment among METH-DIs. Moreover, attention dysfunction was found in maltreated METH-DIs, which conforms to the theory of latent vulnerability.

In-Treatment Changes in Quality of Life-Related Variables in Therapeutic Communities for Cocaine Abusers: Are These Changes Associated with Clinical Outcomes?

BACKGROUND

Few studies have explored changes in quality of life during the first three months of admission to a therapeutic community for addictions. The objective of this study was to determine the relationship between these changes and treatment outcomes at discharge.

METHODS

We undertook a prospective longitudinal study of 142 cocaine-dependent patients treated at a therapeutics community. All of these patients reached the 3-month evaluation and were subsequently followed until discharge. All participants completed the following measures: Health-Related Quality of Life for Drug Abusers Test; Beck Depression Inventory; State-Trait Anxiety Inventory; Opiate Treatment Index; Dual Diagnosis and Discharge Checklist.

RESULTS

At the 3-month assessment, scores on the Health-Related Quality of Life for Drug Abusers Test had increased significantly (Cohen's d: 0.92), while scores on the Opiate Treatment Index (Cohen's d: 0.86) and Beck Depression Inventory (Cohen's d: 0.20) scales both decreased significantly. A higher proportion of the patients considered to have achieved "clinically relevant" treatment outcomes at discharge versus those without clinically relevant outcomes were considered "recovered" according to the Reliable Change Index.

CONCLUSIONS

An improvement in quality of life-related variables from baseline to the 3-month assessment was associated with better outcomes at discharge from the therapeutic community. The findings of this study may help us to optimise therapeutic interventions.

Developing a cognitive dysfunction risk score for use with opioid-dependent persons in drug treatment

BACKGROUND

Cognitive dysfunction is common in persons seeking medication for opioid use disorder (MOUD) and may hinder many addiction-related services. Brief but accurate screening measures are needed to efficiently assess cognitive dysfunction in these resource-limited settings. The study aimed to develop a brief predictive risk score tailored for use among patients in drug treatment.

METHODS

The present study examined predictors of mild cognitive impairment (MCI), objectively assessed via the NIH Toolbox, among 173 patients receiving methadone as MOUD at an urban New England drug treatment facility. Predictors of MCI were identified in one subsample using demographic characteristics, medical chart data, and selected items from the Brief Inventory of Neuro-Cognitive Impairment (BINI). Predictors were cross-validated in a second subsample using logistic regression. Receiver operating curve (ROC) analyses determined an optimal cut-off score for detecting MCI.

RESULTS

A cognitive dysfunction risk score (CDRS) was calculated from patient demographics (age 50+, non-White ethnicity, less than high school education), medical and substance use chart data (history of head injury, overdose, psychiatric diagnosis, past year polysubstance use), and selected self-report items (BINI). The CDRS discriminated acceptably well, with a ROC curve area of 70.6 %, and correctly identified 78 % of MCI cases (sensitivity = 87.5 %; specificity = 55.6 %).

CONCLUSIONS

The CDRS identified patients with cognitive challenges at a level likely to impede treatment engagement and/or key outcomes. The CDRS may assist in efficiently identifying patients with cognitive dysfunction while requiring minimal training and resources. Larger validation studies are needed in other clinical settings.