Convergent validity of the ASAM criteria in co-occurring disorders

Racial and gender differences in relapse potential and treatment acceptance among rural residents in a substance use disorder treatment program

PURPOSE

To examine racial and gender differences in treatment acceptance and relapse potential among rural residents admitted to a substance use disorder (SUD) treatment program.

METHODS

A cross-sectional study using data collected from a sample of 1850 rural residents admitted to a South Carolina state-run SUD treatment center between the years of 2018 and 2020. Chi-square and t-tests were used to compare treatment acceptance and relapse potential by race and gender. Multivariate logistic regression analyses was conducted to further examine the relationship of race and gender with treatment acceptance and relapse potential after adjusting for potential confounding variables.

FINDINGS

Approximately 50% of participants were classified as being accepting of their treatment and committed to changing their substance use, and there were no racial or gender differences in the bivariate and multivariate analyses. Approximately 25% of participants were classified as having low/no potential risk for relapsing, and there were no racial or gender differences in the bivariate analysis. However, the adjusted odds ratio of relapsing risk were lower among White compared to Black adults [AOR = 0.49 with 95% CI (0.31-0.77)].

CONCLUSION

This study suggests there are no gender or racial differences in treatment acceptance for SUD but that Black adults are at greater risk of relapsing relative to White adults. Additional research is needed to identify factors that increase Black adults' risk for relapse to inform interventions that can improve SUD treatment outcomes in this population.

Addictive and other mental disorders: a call for a standardized definition of dual disorders

The persistent difficulty in conceptualizing the relationship between addictive and other mental disorders stands out among the many challenges faced by the field of Psychiatry. The different philosophies and schools of thought about, and the sheer complexity of these highly prevalent clinical conditions make progress inherently difficult, not to mention the profusion of competing and sometimes contradictory terms that unnecessarily exacerbate the challenge. The lack of a standardized term adds confusion, fuels stigma, and contributes to a "wrong door syndrome" that captures the difficulty of not only diagnosing but also treating addictive and other mental disorders in an integrated manner. The World Association on Dual Disorders (WADD) proposes the adoption of the term "Dual Disorder" which, while still arbitrary, would help harmonize various clinical and research efforts by rallying around a single, more accurate, and less stigmatizing designation.

Association Between Recent Cannabis Consumption and Withdrawal-Related Symptoms During Early Abstinence Among Females With Smoked Cocaine Use Disorder

BACKGROUND

The effects of cannabis on clinical outcomes of treatment services for other drug use disorders remains unclear. The primary aim of the current study was to investigate the effects of recent cannabis consumption on the severity of cocaine withdrawal and depressive symptoms during a 3-week inpatient treatment program for women with cocaine use disorder. The second goal of this study was to test the effect of recent alcohol or tobacco use on the aforementioned outcomes.

METHODS

This was a longitudinal study with 2 assessment time points: at enrollment and upon discharge from a medically managed intensive inpatient unit. The sample was composed of 214 early abstinence females with cocaine use disorder. Cocaine withdrawal and depressive symptoms were measured using the Cocaine Selective Severity Assessment (CSSA) and the Beck Depressive Inventory (BDI-II). Recent substance use was evaluated using the Addiction Severity Index (ASI-6).

RESULTS

Patients with cocaine use disorder and with frequent recent cannabis use reported higher severity of cocaine withdrawal and depressive symptoms after 3 weeks of inpatient treatment. Neither recent alcohol nor tobacco use was associated with increased CSSA or BDI outcomes, suggesting these substances play a minor role compared to recent cannabis use in affecting withdrawal-related symptoms.

CONCLUSIONS

The assessment of recent cannabis use may help identify patients in need of additional treatment to manage severe cocaine withdrawal symptoms and depressive symptoms during early abstinence.

Assessing public behavioral health services data: a mixed method analysis

Background

Measuring behavioral health treatment accessibility requires timely, comprehensive and accurate data collection. Existing public sources of data have inconsistent metrics, delayed times to publication and do not measure all factors related to accessibility. This study seeks to capture this additional information and determine its importance for informing accessibility and care coordination.

Methods

The 2018 National Survey for Substance Abuse and Treatment Services (N-SSATS) data were used to identify behavioral health facilities in Indiana and gather baseline information. A telephone survey was administered to facilities with questions parallel to the N-SSATS and additional questions regarding capacity and patient intake. Quantitative analysis includes chi-square tests. A standard qualitative analysis was used for theming answers to open-ended questions.

Results

About 20% of behavioral health facilities responded to the study survey, and non-response bias was identified by geographic region. Among respondents, statistically significant differences were found in several questions asked in both the study survey and N-SSATS. Data gathered from the additional questions revealed many facilities to have wait times to intake longer than 2 weeks, inconsistency in intake assessment tools used, limited capacity for walk-ins and numerous requirements for engaging in treatment.

Conclusion

Despite the low response rate to this study survey, results demonstrate that multiple factors not currently captured in public data sources can influence coordination of care. The questions included in this study survey could serve as a framework for routinely gathering these data and can facilitate efforts for successful coordination of care and clinical decision-making.

Expanding the use of the ASAM CriteriaTM to make mental health level of care placements

Purpose

Despite the prevalence of co-occurring mental health and substance use disorders, the assessment and placement processes for each often remain separate. The purpose of this paper is to describe an expanded use of the American Society of Addiction Medicine (ASAM) CriteriaTM to make placements into substance use, co-occurring, and mental health treatment.

Design/methodology/approach

A rationale for the development of two new domains (Domain 7, substance use and Domain 8, independent living skills) and preliminary data supporting the use of the ASAM CriteriaTM as a placement process for all types of behavioral health issues will be provided.

Findings

Dimension 3 and Domains 7 and 8 were correlated with selected clinical indices in the expected direction (Dimension 3: depression (F (4, 4650)=202.092, p<0.001), medication usage (F (4, 4,637)=174.254, p<0.001), and psychotic symptoms (F (4, 4,561)=62.954, p<0.001); Domain 7: alcohol use (F (4, 4,458)=213.786, p<0.001) and drug use (F (4, 4,471)=611.491, p<0.001); and Domain 8: functional impairment (F (4, 3,927)=815.646, p<0.001) and number of “high needs” (F (4, 3,927)=737.568, p<0.001).

Research limitations/implications

The limitations of this research included a lack of inter-rater reliability data and less established intake assessments.

Practical implications

This single placement approach for clients seeking behavioral health services can create a more efficient, person-centered intake experience.

Originality/value

This paper suggests that it is possible to deploy a single assessment and placement approach for all types of behavioral health issues.

The Use of the Addiction Severity Index Psychiatric Composite Scores to Predict Psychiatric Inpatient Admissions

The high prevalence of co-occurring mental health and substance use disorders indicates a need for integrated behavioral health treatment that addresses both types of disorder simultaneously. One component of this integrated treatment is the use of an assessment process that can concurrently identify the presence of each class of disorder. The Addiction Severity Index (ASI) has been extensively used and researched in the field of substance use disorders for over 30 years. The ASI has seven sections, including a section on substance use disorders and a section on psychiatric symptoms, making it a potential candidate for a co-occurring screen during intake. The following study utilized a receiver operating characteristic curve analysis to determine an optimal cutoff score on the ASI psychiatric composite score to identify which individuals seeking substance use disorder treatment were admitted to the Milwaukee County Behavioral Health Division's psychiatric hospital in the year subsequent to their ASI administration. Of the 19,320 individuals who completed an initial ASI in our system, 343 had an inpatient admission. The receiver operating characteristic curve was statistically significant, with an area under the curve of 0.75. A cutoff of 0.27 had a sensitivity of 0.77 and a specificity of 0.61, such that over 60% (11,963/19,320) of the sample was excluded. These results suggest that the ASI psychiatric composite score may be a useful initial screen to identify those with potential mental health problems/needs in a behavioral health system attempting to integrate addiction and mental health services.