Journal of Dual Diagnosis最新文献

Objective: Substance use disorders (SUDs) commonly co-occur with posttraumatic stress disorder (PTSD). Understanding PTSD clinics that serve higher percentages of patients with PTSD/SUD is crucial for improving SUD care in clinics with lower percentages of such patients. This study examined the differences between Veterans Affairs (VA) PTSD treatment sites with higher percentages ("High%") and lower percentages ("Low%") of patients with PTSD/SUD as well as exploring the roles of the PTSD/SUD specialists.

Methods: The study collected quantitative and qualitative data from 18 clinic directors and 21 specialists from 33 VA PTSD specialty outpatient clinics from 2014 to 2016. The clinics were chosen from the top and bottom quartiles based on two criteria: (1) the percentage of patients with PTSD/SUD and (2) the percentage of patients with PTSD/SUD who completed at least three SUD visits within the first month of their SUD treatment. The interviews sought to identify distinguishing characteristics between the High% and Low% clinics in terms of treatment access and practices for patients with PTSD/SUD.

Results: More of the High% clinics reported providing evidence-based, patient-centered, and integrated/concurrent PTSD/SUD treatment and had staff members with more up-to-date knowledge and skills than the Low% clinics. We also found the roles of the PTSD/SUD specialists were demanding and confusing, leading to high turnover rates.

Conclusions: The two groups of PTSD clinics differed in three key factors: Resources, knowledge and skills of staff members, and local policies. Future research should focus on addressing resource limitations, knowledge gaps, and local policy disparities in Low% clinics. By emulating the practices of High% clinics, VA PTSD clinics can improve SUD care for patients with PTSD/SUD.

Objective: To investigate demographic/cinical variables associated to dual diagnosis and the psychological reaction of dual-diagnosis patients to COVID-19 pandemic.

Methods: Information was collected at the Addiction Service of Monza, Italy. The Impact of Event Scale-Revised (IES-R), a self-report questionnaire measuring the subjective response to a traumatic event, was administered. Univariate analyses and binary logistic regression were performed. IES-R scores were compared between groups defined by qualitative variables through one-way analyses of variance (ANOVA).

Results: 118 outpatients were included, 48.3% with dual diagnosis. Alcohol use disorder and being female were associated to dual diagnosis. IES-R scores were significantly higher in the dual-diagnosis group, especially for personality disorders (PDs). IES-R scores were higher in patients taking treatment for substance use disorder (SUD).

Conclusions: Females and alcohol abusers were at-risk subjects for dual diagnosis. Patients with SUD and PDs may benefit from additional support, especially when traumatic life events occur.

Trial registration: ClinicalTrials.gov Identifier: NCT04694482.

Objective: The aim of this work was to examine the profile and treatment outcomes of patients with dual pathology depending on whether the patients were attending addiction centers or are being treated in a coordinated model by mental health services.

Methods: Data from 7225 dual diagnosis patients were used, of whom 2417 (33.5%) received treatment in the mental health coordinated modality. Clinical information was taken from the patients' electronic health record.

Results: Differences were found in patients' sociodemographic and comorbidity profiles according to treatment modality. In general, coordinated care yielded favorable outcomes (higher attendance and lower dropout rates but no differences in retention). The logistic regression analysis identified predictors of patient profiles in coordinated care, emphasizing having a severe mental health disorder (OR = 3.878, 95% CI [3.443, 4.368]; p = .000), being referred by social/health services, or having retired status. Main differences were observed according to the comorbid diagnosis presented, particularly in cases in which the patient had impulse control, hyperkinetic, or cluster C personality disorder.

Conclusions: While therapeutic outcomes are influenced by associated comorbidities, the disorders prognosis can be favorable with appropriate treatment. Furthermore, analysis of differences according to treatment modality allows for predicting the type of patient who will receive a particular service, which enables the development of tailored treatments.

Objective: Our aim was to analyze the association between criminal behavior and impulsivity in individuals with drug addiction and investigate whether impulsiveness mediates the relationship between drug use severity and legal problems.

Methods: This cross-sectional study included 773 men diagnosed with addiction (295 alcohol users and 478 users of crack/polysubstance) while undergoing addiction treatment. The BIS-11 and ASI-6 were applied to assess impulsivity, criminal behavior, and drug use.

Results: The prevalence of criminal behavior was 41.7% (n = 123) in alcohol users and 64.9% (n = 310) in users of crack/polysubstance. Earlier use of different substances and higher impulsivity scores were observed in individuals with criminal history. Mediation analyses revealed that impulsiveness acts as a mediator factor between substance use and criminal behavior, enhancing the severity of legal problems.

Conclusion: Our findings can help in deciding on tailored treatment strategies, focusing not only on substance use, but also on the prevention of social problems, criminality, and impulsivity.

Objective: Dropout rates are high in treatments for co-occurring posttraumatic stress disorder (PTSD) and substance use disorders (SUDs). We examined dropout predictors in PTSD-SUD treatment. Methods: Participants were 183 veterans receiving integrated or phased motivational enhancement therapy and prolonged exposure. Using survival models, we examined demographics and symptom trajectories as dropout predictors. Using latent trajectory analysis, we incorporated clusters based on symptom trajectories to improve dropout prediction. Results: Hispanic ethnicity (integrated arm), Black or African American race (phased arm), and younger age (phased arm) predicted dropout. Clusters based on PTSD and substance use trajectories improved dropout prediction. In integrated treatment, participants with consistently-high use and low-and-improving use had the highest dropout. In phased treatment, participants with the highest and lowest PTSD symptoms had lower dropout; participants with the lowest substance use had higher dropout. Conclusions: Identifying within-treatment symptom trajectories associated with dropout can help clinicians intervene to maximize outcomes. ClinicalTrials.gov Identifier: NCT01211106.

Objective: The co-occurrence of anxiety disorders, depressive disorders, and substance use problems was examined. Methods: The Mental Health Client-Level Data dataset was used to conduct logistic regression models and an artificial neural network analysis. Logistic regression analyses were conducted among adults with anxiety (n = 547,473) or depressive disorders (n = 1,610,601) as their primary diagnosis who received treatment in a community mental health center. The artificial neural network analysis was conducted with the entire sample (N = 2,158,074). Results: Approximately 30% of the sample had co-occurring high-risk substance use or substance use disorder. Characteristics including region of treatment receipt, age, education, gender, race and ethnicity, and the presence of co-occurring anxiety and depressive disorders were associated with the co-occurring high-risk substance use or a substance use disorder. Conclusions: Findings from this study highlight the importance of mental health facilities to screen for and provide integrated treatment for co-occurring disorders.

Objective: Evidence suggests that pain intensity may be indirectly linked to hazardous drinking and PTSD symptom severity via pain-related anxiety. The goal of this analysis was to test the hypotheses in a population with PTSD symptoms that pain intensity would be positively and indirectly associated with hazardous drinking, alcohol dependence, alcohol-related problems, and PTSD symptom severity via pain-related anxiety.

Methods: Heavy drinkers with probable PTSD were recruited via Qualtrics panels (N = 371, 53% Female, M_age = 39.68, SD = 10.86). Linear regression and conditional process models were conducted to examine indirect associations between pain intensity and primary outcomes via pain-related anxiety.

Results: Pain intensity was found to be indirectly associated with hazardous drinking, alcohol dependence, alcohol-related problems, and PTSD symptom severity via greater pain-related anxiety.

Conclusion: These initial findings suggest that pain-related anxiety may play an important role in relations between the experience of pain and hazardous patterns of alcohol consumption among individuals with probable PTSD. Future research is needed to determine the temporal nature of these associations and to examine the potential utility of treatments that address pain-related anxiety in the context of comorbid pain, PTSD, and hazardous drinking.