The Comorbidity of Psychiatric and Substance Use Disorders Among Hispanic Adolescents

A systematic review exploring characteristics of youth with severe and enduring mental health problems (SEMHP)

A small group of youth and emerging adults deals with severe and enduring mental health problems (SEMHP). Current mental health care struggles to recognize and treat this group timely and adequately, leaving these youth between the cracks of the system. A first step to improve care for this group is to gain a deeper understanding of the characteristics of youth with SEMHP. Therefore, this study aimed at reviewing current literature about this target group and what is known so far about their characteristics. We included 39 studies with a focus on youth aged 12-25 years with SEMHP. After critical appraisal, a content analysis and in-depth thematic analysis were conducted. According to the included studies, youth with SEMHP were characterized by severe distress and recurrent comorbid mental health problems, with pervasive suicidality. Further, underlying trauma, family conflicts, peer rejection, deep feelings of hopelessness, and psychosocial malfunctioning characterized SEMHP. It was described that for youth with SEMHP a pervasive pattern of dysfunction in multiple domains is present leading to a detrimental impact. Subsequently, this pattern exerts a reciprocal influence on the mental health problems, causing a vicious circle further worsening SEMHP. Our findings emphasize the need for a holistic approach and to look beyond the traditional classification system in order to meet the needs of these youth with wide-ranging comorbid mental health problems.

The Moderating Role of Health Status on the Association Between Depressive Symptoms and Cannabis Vaping

Objective

Cannabis vaping is increasing among college students. There is little information on risk factors for vaping cannabis. Consistent with the self-medication hypothesis, experiencing depressive symptoms and having a chronic medical condition (CMC) are associated with cannabis use among young adults. Individuals who experience both risk factors may be at higher risk for cannabis vaping. This study examined cross-sectional associations between depressive symptoms, CMC status, and cannabis vaping, and identified the moderating role of CMC status on depressive symptoms and cannabis vaping.

Method

College students (N = 3,742) self-reported on depressive symptoms, CMC status, and lifetime and current cannabis vaping (i.e., cannabis vaporizers; electronic nicotine devices to use cannabis). Data were collected Fall 2017 until Spring 2021. The sample was predominantly female (70.9%) and White (75.4%). Regression analyses were used.

Results

Greater depressive symptoms were related to increased likelihood of cannabis vaping across outcomes. Having a CMC was related to lifetime history of cannabis vaporizing. CMC status moderated the associations between depressive symptoms and lifetime cannabis vaporizing. Depressive symptoms were only a risk factor for cannabis vaporizing among college students without a CMC, not those with a CMC.

Conclusions

Interventions that teach adaptive ways of coping with depressive symptoms and the potential demands of managing a CMC in college are needed. Comprehensive programs for college students, with and without CMCs, are needed to support those with comorbid depression and cannabis vaping use.

Homelessness and Gender: Differences in Characteristics and Comorbidity of Substance Use Disorders at Admission to Services

Background: Substance use disorders and homelessness are two closely related behavioral health issues. This study examines associations between homelessness and severity of substance use disorder (SUD) characteristics (inclusive of alcohol and other legal and illegal drugs) and presence of mental health comorbidity among individuals entering treatment for SUD. We also examine differences in SUD and mental health comorbidity by gender within a sample of clients experiencing homelessness upon admission to treatment. Methods: Using the 2017 Treatment Episodes Data Set, we used logistic regression models to examine the association between homelessness and indicators of severity (e.g., frequency of use, route of transmission) and the presence of mental health conditions, and to examine the association between gender and these dependent variables among only individuals experiencing homelessness at treatment admission. Results: After controlling for covariates, homelessness is significantly associated with increased odds of cocaine and methamphetamine use compared to all other substances, higher frequency of use, younger age of first use, use of more substances, injection drug use, and co-occurring mental health conditions. Female gender is inversely associated with younger age at first use and highly associated with co-occurring mental health conditions among those experiencing homelessness at admission to treatment. Conclusions: Individuals experiencing homelessness enter substance use services with different characteristics of substance use disorders, different patterns of use, and with higher rates of mental health comorbidity. Within homeless admissions, women have significant differences in substance use and higher likelihood of mental health comorbidity than men. Future research should focus on the specific treatment needs of individuals experiencing homelessness, and how the combination of homelessness and gender affects barriers and challenges to treatment.

A Model of Determinants Influencing the Development of Child and Adolescent Psychiatrist Self-efficacy for Discussing Substance Use with Patients

Child and adolescent psychiatrists are well situated to have meaningful conversations with a population at high risk of substance use: youth receiving psychiatric care. However, there has been a dearth of research about behavioral determinants that may influence psychiatrists' willingness to engage in these discussions. This study proposes a model of determinants to help identify influences on psychiatrists' levels of self-efficacy, which theoretically should predict their discussions about substance use. A national survey of child and adolescent psychiatrists was conducted to gather data to test this model, which predicted that training, past experiences with substance use discussions, and communication apprehension would influence self-efficacy. Results showed that the model was an excellent fit to the data, accounting for 49% of the variance in self-efficacy. We discuss how these findings could inform future training initiatives for child and adolescent psychiatrists.

Practical foundations of machine learning for addiction research. Part I. Methods and techniques

Machine learning assembles a broad set of methods and techniques to solve a wide range of problems, such as identifying individuals with substance use disorders (SUD), finding patterns in neuroimages, understanding SUD prognostic factors and their association, or determining addiction genetic underpinnings. However, the addiction research field underuses machine learning. This two-part narrative review focuses on machine learning tools and concepts, providing an introductory insight into their capabilities to facilitate their understanding and acquisition by addiction researchers. This first part presents supervised and unsupervised methods such as linear models, naive Bayes, support vector machines, artificial neural networks, and k-means. We illustrate each technique with examples of its use in current addiction research. We also present some open-source programming tools and methodological good practices that facilitate using these techniques. Throughout this work, we emphasize a continuum between applied statistics and machine learning, we show their commonalities, and provide sources for further reading to deepen the understanding of these methods. This two-part review is a primer for the next generation of addiction researchers incorporating machine learning in their projects. Researchers will find a bridge between applied statistics and machine learning, ways to expand their analytical toolkit, recommendations to incorporate well-established good practices in addiction data analysis (e.g., stating the rationale for using newer analytical tools, calculating sample size, improving reproducibility), and the vocabulary to enhance collaboration between researchers who do not conduct data analyses and those who do.

Racial and Ethnic Differences in Cannabis Use and Cannabis Use Disorder: Implications for Researchers

PURPOSE

Heavy and prolonged use of cannabis is associated with several adverse health, legal and social consequences. Although cannabis use impacts all U.S. racial/ethnic groups, studies have revealed racial/ethnic disparities in the initiation, prevalence, prevention and treatment of cannabis use and Cannabis Use Disorder (CUD). This review provides an overview of recent studies on cannabis and CUD by race/ethnicity and a discussion of implications for cannabis researchers.

FINDINGS

The majority of studies focused on cannabis use and CUD among African American/Black individuals, with the smallest number of studies found among Native Hawaiians/Pacific Islanders. The limited number of studies highlight unique risk and protective factors for each racial/ethnic group, such as gender, mental health status, polysubstance use and cultural identity.

SUMMARY

Future cannabis studies should aim to provide a deeper foundational understanding of factors that promote the initiation, maintenance, prevention and treatment of cannabis use and CUD among racial/ethnic groups. Cannabis studies should be unique to each racial/ethnic group and move beyond racial comparisons.

Risk of Psychiatric Morbidity in Psychosexual Disorders in Male Patients: A Nationwide, Cohort Study in Taiwan

This study aimed to investigate the association between males with psychosexual disorders (PSDs) and the risk of developing psychiatric disorders. A total of 34,972 enrolled patients, with 8,743 subjects who had suffered from PSD and 26,229 controls (1:3) matched for age and index year, from Taiwan’s Longitudinal Health Insurance Database (LHID) from 2000 to 2015, selected from the National Health Insurance Research Database (NHIRD). After adjusting all the confounding factors, the multivariate Cox regression model was used to compare the risk of developing psychiatric disorders, between the PSD and non-PSD groups, during the 15 years of follow-up. Of the all enrollees, 1,113 in the PSD cohort and 2,611 in the non-PSD cohort (1,180.96 vs. 954.68 per 100,000 person-year) developed psychiatric disorders. Multivariate Cox regression model survival analysis revealed that, after adjusting for gender, age, monthly income, urbanization level, geographic region, and comorbidities, the adjusted hazard ratio (HR) was 2.448 (95% CI [2.227, 2.633], p < .001). PSD has been associated with the increased risk in anxiety disorders, depressive disorders, bipolar disorders, sleep disorders, and psychotic disorders, respectively. Sexual dysfunctions, paraphilia, and gender identity disorders were associated with the overall psychiatric disorders with adjusted HRs as 1.990 (p < .001), 11.622 (p < .001), and 5.472 (p < .001), respectively. Male patients who suffered from PSD have a higher risk of developing psychiatric disorders, and this finding should be considered as a timely reminder for the clinicians to provide much more attention for these patients because of their mental health issues.

Psychiatric comorbidity in adolescent use and poly-use of combustible, vaporized, and edible cannabis products

Cannabis legalization and commercialization has resulted in novel alternative cannabis products on the market, including edible and vaporized cannabis, which may appeal to youth with psychiatric problems. Psychiatric comorbidity in adolescent use and poly-use (i.e., use of >2 products) of combustible, edible, and vaporized cannabis products has largely gone uninvestigated. This 2015 cross-sectional survey of Los Angeles, California area adolescents (Mage = 16.1, N = 3177) characterized associations of various psychiatric problems with use and poly-use of combustible, edible, and vaporized cannabis. Exposure variables included past 30-day non-cannabis substance use (alcohol, e-cigarettes, combustible cigarettes, and nonmedical prescription opioid and stimulant use; yes/no), and psychiatric problems including past-week depressive symptom frequency, past 6-month ADHD symptom and conduct problem frequency, anhedonia, and five dimensions of impulsivity (sensation seeking, perseverance, lack of premeditation, positive urgency, and negative urgency). Outcome variables included past 30-day use (yes/no) of combustible, edible, and vaporized cannabis, independently, and number of cannabis products used (single, dual-use, poly-use). Results showed that all forms of non-cannabis substance use (ORs range: 13.7-36.1) and all psychiatric symptoms and traits (ORs in SD units range: 1.1-2.1) were positively associated with combustible, edible, and vaporized cannabis product use. The magnitude of comorbidity did not significantly differ by cannabis product type used in most cases. Psychiatric comorbidity was typically stronger in poly-product than single-product cannabis use and greater for externalizing-type than internalizing-type psychiatric problems. Practitioners, policy makers, and scientists should be aware that pervasive psychiatric comorbidity may be observed across the spectrum of cannabis product use among adolescents, particularly poly-product users.

Threat Responsiveness as a Function of Cannabis and Alcohol Use Disorder Severity

Objective: Two of the most commonly abused substances by adolescents in the United States are alcohol and cannabis, both of which are associated with adverse medical and psychiatric outcomes throughout the lifespan. Both are assumed to impact the development of emotional processing although findings on the direction of this impact have been mixed. Preclinical animal work and some functional magnetic resonance imaging (fMRI) work with humans have suggested cannabis use disorder (CUD) and alcohol use disorder (AUD) are associated with increased threat responsiveness. However, other fMRI work has indicated CUD/AUD are associated with diminished threat responsiveness. In this study, we report on a study examining the relationship of severity of CUD/AUD and threat responsiveness in an adolescent population. Methods: The study involved 87 (43 male) adolescents with varying levels of CUD/AUD symptomatology (N = 45 above clinical cutoffs for CUD or AUD). They were scanned with fMRI during a looming threat task that involved images of threatening and neutral human faces or animals that appeared to be either looming or receding. Results: Increasing levels of CUD symptomatology were associated with decreased responding to looming stimuli within regions, including rostral frontal and fusiform gyrus as well as the amygdala. There were no relationships with AUD symptomatology. Conclusions: These data indicate that CUD in particular is associated with a decrease in responsiveness to the looming threat cue possibly relating to the putative neurotoxic impact of cannabis abuse.

Differential dysfunctions related to alcohol and cannabis use disorder symptoms in reward and error-processing neuro-circuitries in adolescents

Alcohol and cannabis are two of the most commonly used substances by adolescents and are associated with adverse medical and psychiatric outcomes. These adverse psychiatric outcomes may reflect the negative impact of alcohol and/or cannabis abuse on neural systems mediating reward and/or error detection. However, work indicative of this has mostly been conducted in adults with Alcohol and/or Cannabis Use Disorder (i.e., AUD and CUD), with relatively little work in adolescent patients. Furthermore, of the work that has been conducted in adolescents, groups were based on categorical diagnoses of AUD and/or CUD, so the relationship between AUD and/or CUD symptom severity in adolescents and neural dysfunction is unclear. We used a Monetary Incentive Delay (MID) task to examine the relationship between AUDIT and/or CUDIT scores and functional integrity of neuro-circuitries mediating reward processing and error detection within 150 adolescents. Our findings indicate that AUDIT score is negatively related to activity in reward processing neuro-circuitry in adolescents. However, CUDIT score is negatively related to activity in brain regions involved in error detection. Each of these relationships reflected a medium effect size (Partial-η2 0.09-0.14). These data suggest differential impacts of AUD and CUD on reward versus error detection neuro-circuitries within the adolescent brain.