This study aimed to determine if current comorbid psychiatric disorders differ in adults with cocaine use disorder, other stimulant (primarily methamphetamine) use disorder, or both, and identify demographic and clinical characteristics in those with increasing numbers of comorbid disorders. Baseline data from a randomized controlled trial beginning in residential settings (N=302) was used. Mood disorders were present in 33.6%, and anxiety disorders in 29.6%, with no differences among stimulant use disorder groups. Panic disorder was more frequently present with other stimulant use disorder. Those with two or more comorbid psychiatric disorders were more often female, White, had more symptoms of depression, greater propensity and risk for suicidal behavior, lower functioning in psychiatric and family domains, lower quality of life, more symptoms with stimulant abstinence and greater likelihood of marijuana dependence. Those with one or more comorbid disorders had more medical disorder burden, lower cognitive and physical functioning, greater pain, and higher rates of other drug dependence. With current comorbid psychiatric disorders, the morbidity of stimulant use disorders increases. Use of validated assessments near treatment entry, and a treatment plan targeting not only substance use and comorbid psychiatric disorders, but functional impairments, medical disorder burden and pain, may be useful.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437704PMC
http://dx.doi.org/10.1016/j.psychres.2016.09.007DOI Listing

Publication Analysis

Top Keywords

comorbid psychiatric
20
psychiatric disorders
20
current comorbid
12
disorders
11
demographic clinical
8
clinical characteristics
8
stimulant disorders
8
comorbid disorders
8
stimulant disorder
8
medical disorder
8

Similar Publications

Context: The use of prebiotics and probiotics as a treatment for psychiatric conditions has gained interest due to their potential to modulate the gut-brain axis. This review aims to assess the effectiveness of these interventions in reducing symptoms of depression and anxiety in psychiatric populations.

Objective: The aim was to comprehensively review and appraise the effectiveness of prebiotic, probiotic, and synbiotic interventions in reducing clinical depression and anxiety symptoms.

View Article and Find Full Text PDF

The article presents theses of the resolution of the Interdisciplinary Council of Experts in Psychiatry and Neurology (Moscow, 2024) on the issue of comorbid anxiety disorders (AD) in patients with neurological pathologies. The authors highlight the high prevalence of comorbid ADs and their significant negative impact on the course of underlying diseases, such as epilepsy, pain syndromes and post-stroke conditions. Modern approaches to the diagnosis and treatment of ADs in this group of patients are discussed.

View Article and Find Full Text PDF

Objective: To investigate the influencing factors of the number of physical diseases in elderly hospitalized psychiatric patients.

Methods: A total of 332 hospitalized elderly patients with mental illness were enrolled in this study. The number of combined physical diseases was divided into three groups, which were 0, 1 ~ 2, and ≥ 3.

View Article and Find Full Text PDF

Psychiatric disorders are highly comorbid, heritable, and genetically correlated [1-4]. The primary objective of cross-disorder psychiatric genetics research is to identify and characterize both the shared genetic factors that contribute to convergent disease etiologies and the unique genetic factors that distinguish between disorders [4, 5]. This information can illuminate the biological mechanisms underlying comorbid presentations of psychopathology, improve nosology and prediction of illness risk and trajectories, and aid the development of more effective and targeted interventions.

View Article and Find Full Text PDF

The high comorbidity of major depressive disorder (MDD) with other diseases has been well-documented. However, the pairwise causal connections for MDD comorbid networks are poorly characterized. We performed Phenome-wide Mendelian randomization (MR) analyses to explore bidirectional causal associations between MDD (N = 807,553) and 877 common diseases from FinnGen datasets (N = 377,277).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!