Comorbid substance use disorders with other Axis I and II mental disorders among treatment-seeking Asian Americans, Native Hawaiians/Pacific Islanders, and mixed-race people

Alcohol Use Disorder Risk and Protective Factors and Associated Harms Among Pacific Islander Young Adults

Pacific Islander (PI) young adults (age 18 to 30 years) experience elevated rates of hazardous drinking, AUDs, and alcohol-related harms. Yet, we know little about the risk and protective factors that drive, or can prevent, PI young adult hazardous drinking behaviors and AUDs due to a lack of targeted alcohol disparities research. This large qualitative study presents data from 8 focus groups with 69 PIs (51 young adults, 18 informal providers) to explore the major risk factors, protective factors, and negative consequences associated with PI young adult hazardous drinking and AUDs. Findings revealed (1) major risk factors including the presence of significant life stressors that trigger alcohol self-medication, peer/social pressure to drink, permissive drinking norms, and frequent access to alcohol and (2) negative consequences involving physical fights, health and relationship problems, harm to personal reputation, and community harms including driving-under-the-influence and sexual violence. Protective factors against hazardous drinking and AUDs included the cultural norm of protecting the family's reputation by avoiding AUDs, church/religious faith, family responsibilities, and culturally relevant prosocial activities (e.g., sports, dance, choir). Obtaining this in-depth data revealed that an effective culturally grounded AUD prevention intervention for PI young adults-which does not currently exist-should (1) target these identified major risk factors for AUDs, while (2) integrating culturally responsive strategies that incorporate their reported protective factors.

NeuroBlu, an electronic health record (EHR) trusted research environment (TRE) to support mental healthcare analytics with real-world data

PURPOSE

NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analysis through a secure web-based interface. Structured data are available for sociodemographic characteristics, mental health service contacts, hospital admissions, International Classification of Diseases ICD-9/ICD-10 diagnosis, prescribed medications, family history of mental disorders, Clinical Global Impression-Severity and Improvement (CGI-S/CGI-I) and Global Assessment of Functioning (GAF). To further enhance the data set, natural language processing (NLP) tools have been applied to obtain mental state examination (MSE) and social/environmental data. This paper describes the development and implementation of NeuroBlu, the procedures to safeguard data integrity and security and how the data set supports the generation of real-world evidence (RWE) in mental health.

PARTICIPANTS

As of 31 July 2021, 562 940 individuals (48.9% men) were present in the data set with a mean age of 33.4 years (SD: 18.4 years). The most frequently recorded diagnoses were substance use disorders (1 52 790 patients), major depressive disorder (1 29 120 patients) and anxiety disorders (1 03 923 patients). The median duration of follow-up was 7 months (IQR: 1.3 to 24.4 months).

FINDINGS TO DATE

The data set has supported epidemiological studies demonstrating increased risk of psychiatric hospitalisation and reduced antidepressant treatment effectiveness among people with comorbid substance use disorders. It has also been used to develop data visualisation tools to support clinical decision-making, evaluate comparative effectiveness of medications, derive models to predict treatment response and develop NLP applications to obtain clinical information from unstructured EHR data.

FUTURE PLANS

The NeuroBlu data set will be further analysed to better understand factors related to poor clinical outcome, treatment responsiveness and the development of predictive analytic tools that may be incorporated into the source EHR system to support real-time clinical decision-making in the delivery of mental healthcare services.

The role of migration processes and cultural factors in the classification of personality disorders

Migrants and ethnic minorities are at risk of being under- and overdiagnosed with personality disorders (PDs). A culturally informed approach to the classification of PDs guides clinicians in incorporating migration processes and cultural factors, to arrive at a reliable and valid assessment of personality pathology. In this article, we provide a tentative framework to highlight specific interactions between personality disorders, migration processes, and cultural factors. It is argued that migration processes can merely resemble personality pathology, activate certain (latent) vulnerabilities, and aggravate pre-existing personality pathology. We propose that these migration processes can include manifestations of grief about the loss of pre-migratory psychosocial and economic resources, and the struggle to attain psychosocial and economic resources in the host culture. Moreover, several cultural dimensions are outlined that can either resemble or mask personality pathology. The term "culturally masked personality disorder" is coined, to delineate clinical cases in which cultural factors are overused or misused to rationalize behavioral patterns that are consistently inflexible, distressing, or harmful to the individual and/or significant others, lead to significant impairment, and exceed the relevant cultural norms. Additionally, the role of historical trauma is addressed in the context of potential overdiagnosis of personality disorders in Indigenous persons, and the implications of misdiagnosis in migrants, ethnic minorities, and Indigenous populations are elaborated. Finally, clinical implications are discussed, outlining various diagnostic steps, including an assessment of temperament/character, developmental history, systemic/family dynamics, migration processes, cultural dimensions, and possible historical trauma.

Cognitive performance and lifetime cannabis use in patients with first-episode schizophrenia spectrum disorder

INTRODUCTION

Cognitive impairment is among the core features of schizophrenia. In a healthy population, the cognitive deficit is often linked with cannabis abuse, and although the same would be expected in patients with schizophrenia, research has presented contradictory results.

METHODS

Participants were patients with first-episode schizophrenia (FES) spectrum disorder who had been lifetime cannabis users (N = 30), FES non-users (N = 53) as well as healthy controls (HC) also divided into cannabis users (N = 20) and non-users (N = 49). All participants underwent an extensive neurocognitive assessment and filled in a cannabis questionnaire, which allowed for a comparison of the four groups on cognitive functioning.

RESULTS

FES patients using cannabis showed less impaired cognitive functioning with the most prominent difference in visual memory compared to FES non-users. However, they differed neither in the clinical assessment of general psychopathology, positive and negative symptoms, nor in medication from the patient's non-users. A comparison of the HC who used cannabis, and those who did not, revealed no sizeable differences in cognitive performance between the groups.

CONCLUSIONS

The results delivered supporting evidence for the trend of superior neurocognitive performance in FES patients with a lifetime history of cannabis use compared to non-using patients.

Multicomorbidity of chronic diseases and substance use disorders and their association with hospitalization: Results from electronic health records data

BACKGROUND

Chronic diseases are prevalent and the leading causes of mortality. Comorbidity of substance use disorders (SUDs) and chronic diseases is understudied to inform behavioral healthcare integration.

OBJECTIVES

This study leveraged electronic health record (EHR) data of 211,880 adults from a large health system to examine prevalence and correlates of comorbidity of SUDs and nine chronic disease groups and to determine their association with hospitalization.

METHODS

Logistic regression analyses were conducted to estimate associations between chronic diseases and SUDs. To control for severity of diagnosis, analyses of associations between SUD and hospitalization were stratified by the number of chronic conditions.

RESULTS

In the sample, 48.3% had ≥1 chronic condition (hypertension 33.7%, arthritis 16.2%, diabetes 13.7%, chronic kidney disease 9.9%, asthma 9.1%, chronic obstructive pulmonary disease 8.9%, ischemic heart disease 8.3%, cancer 4.6%, and hepatitis 1.3%). Prevalence of SUD (overall 13.3%) among patients increased with multiple chronic conditions (14.3% having SUD among patients with one condition; 21.2% having SUD among patients with two to three conditions; and 32.5% having SUD among patients with 4-9 conditions). Chronic conditions were associated with increased odds of SUDs. For all SUD groups, hospitalization was more prevalent among patients with SUD than those without it; prevalence of hospitalization increased with the number of comorbid chronic conditions.

CONCLUSIONS

Findings reveal a striking pattern of multicomorbidity of SUD and chronic diseases and its positive association with hospitalization. Behavioral healthcare integration should consider efforts to assess and treat comorbid SUD and chronic diseases, especially among adults with multiple chronic conditions.

Substance use disorders and medical comorbidities among high-need, high-risk patients with diabetes

BACKGROUND

The majority of the U.S. healthcare resources are utilized by a small population characterized as high-risk, high-need persons with complex care needs (e.g., adults with multiple chronic conditions). Substance use disorders (SUDs) and mental health disorders (MHDs) are a driver of poor health and additional healthcare costs, but they are understudied among high-need patients.

OBJECTIVE

We examine the prevalence and correlates of SUDs and MHDs among adults with high-risk diabetes, who are patients at the top 10% risk score for developing poor outcomes (hospital admission or death).

METHODS

A risk algorithm developed from Duke University Health System electronic health records (EHRs) data was used to identify patients with high-risk diabetes for targeting home-based primary care. The EHR data of the 263 patients with high-risk diabetes were analyzed to understand patterns of SUDs and MHDs to inform care-coordinating efforts.

RESULTS

Both SUDs (any SUD 48.3%, alcohol 12.5%, tobacco 38.8%, drug 23.2%) and MHDs (any MHD 74.9%, mood 53.2%, sleep 37.3%, anxiety 32.7%, schizophrenia/psychotics/delusional 14.8%, dementia/delirium/amnestic/cognitive 14.4%, adjustment 9.1%) were prevalent. Overall, 81.7% of the sample had SUD or MHD. Elevated odds of SUD were noted among men (tobacco, alcohol) and those who were never-married (alcohol, cannabis). African-American race (vs. other race/ethnicity) was associated with lower odds of anxiety disorders.

CONCLUSION

While data are limited to one large academic health system, they provide clinical evidence revealing that 82% of patients with high-risk diabetes had SUD and/or MHD recorded in their EHRs, highlighting a need for developing service models to optimize high-risk care.

Structural factors affecting Asians and Pacific Islanders in community-based substance use treatment: Treatment provider perspectives

Asians and Pacific Islanders (API) have large disparities in utilization of substance use treatment compared to other racial groups. In this study, we analyzed factors that shape API experiences accessing and engaging in community-based treatment from the perspective of treatment providers. We conducted semi-structured interviews with 40 treatment providers who work with API clients in treatment programs in San Francisco and Los Angeles. We analyzed the transcribed interview data in ATLAS.ti using a content analysis approach. There were three main findings. First, treatment providers found the API category itself is too broad and heterogeneous to meaningfully explain substance use patterns. Second, beyond race/ethnicity, structural factors such as poverty, neighborhood, housing, and age had an impact on API substance use. Third, factors such as family, immigration status, religion, language, stigma played complex roles in API treatment experiences, contingent on how client, programs, and providers attended to differences in these categories.

Co-occurrence of DSM-IV mental disorders and alcohol use disorder among adult Chinese males

BACKGROUND

Studies from high-income countries report moderate-to-strong positive associations between alcohol use disorder (AUD) and other mental disorders, but there is little evidence about the comorbidity of AUD from low-and-middle-income countries.

METHODS

A sample of 74 752 adults from five provinces that account for >12% of China's adult population was screened using the General Health Questionnaire, and the Structured Clinical Interview for DSM-IV was administered by psychiatrists to a subsample of 9619 males. The associations between AUD and other mental disorders at each site and the characteristics of men with AUD with and without comorbid mental disorders were estimated using logistic regression and summarized across sites using meta-analysis. Generalized estimation equations estimated the associations between the clinical features of alcohol dependence and comorbidity.

RESULTS

Robust inverse associations were found between current AUD and any mood disorder (adjusted OR = 0.6, 95% CI = 0.4-0.8) and any anxiety disorder (OR = 0.5, 95% CI = 0.3-1.0). Compared with men without AUD, men with AUD without comorbid disorders were more likely to be middle-aged, to be currently married, and to have higher family incomes. Men with comorbid AUD and other disorders were more likely to have the clinical features of alcohol dependence than men with AUD without comorbid disorders.

CONCLUSIONS

Inverse associations between AUD and other mental disorders and the higher social status of men with AUD than men without AUD found in this large, representative sample of community-dwelling Chinese males highlight the importance of considering the local substance-use culture when designing clinical or preventive interventions for addictive conditions.

Identifying HIV care enrollees at-risk for cannabis use disorder

Increased scientific attention given to cannabis in the United States has particular relevance for its domestic HIV care population, given that evidence exists for both cannabis as a therapeutic agent and cannabis use disorder (CUD) as a barrier to antiretroviral medication adherence. It is critical to identify relative risk for CUD among demographic subgroups of HIV patients, as this will inform detection and intervention efforts. A Center For AIDS Research Network of Integrated Clinical Systems cohort (N = 10,652) of HIV-positive adults linked to care at seven United State sites was examined for this purpose. Based on a patient-report instrument with validated diagnostic threshold for CUD, the prevalence of recent cannabis use and corresponding conditional probabilities for CUD were calculated for the aggregate sample and demographic subgroups. Generalized estimating equations then tested models directly examining patient demographic indices as predictors of CUD, while controlling for history and geography. Conditional probability of CUD among cannabis-using patients was 49%, with the highest conditional probabilities among demographic subgroups of young adults and those with non-specified sexual orientation (67-69%) and the lowest conditional probability among females and those 50+ years of age (42% apiece). Similarly, youthful age and male gender emerged as robust multivariate model predictors of CUD. In the context of increasingly lenient policies for use of cannabis as a therapeutic agent for chronic conditions like HIV/AIDS, current study findings offer needed direction in terms of specifying targeted patient groups in HIV care on whom resources for enhanced surveillance and intervention efforts will be most impactful.

Psychiatric comorbidities in opioid-dependent patients undergoing a replacement therapy programme in Spain: The PROTEUS study

Opioid-dependent patients show a high rate of psychiatric comorbidities. The prevalence and characteristics of patients with dual diagnosis have not been well established in Spanish opioid agonist treatment (OAT) programmes. Thus, 621 opioid-dependent patients enrolled in OAT programmes were assessed, using the EuropASI questionnaire, for psychiatric comorbidities, which were detected in 67% of patients (anxiety 53%, mood disorders 48%, sleep disorders 41%, substance-related disorders 36%). In addition, compared with patients without a dual diagnosis, patients with dual pathology were significantly older, used benzodiazepines and cannabis in significantly greater percentages, and showed significantly more frequent infectious and non-infectious comorbidities, worse overall working status, a lower proportion of drivers and higher levels of severity regarding medical, employment, alcohol, legal, family and psychological issues. Therefore, the data showed a very high prevalence of psychiatric comorbidity in opioid-dependent patients receiving OAT in Spain and several problems frequently associated with patients with dual diagnosis. Physicians treating opioid-dependent patients should be aware of these facts to correctly identify and manage patients with a dual diagnosis.

Substance use and mental diagnoses among adults with and without type 2 diabetes: Results from electronic health records data

BACKGROUND

Comorbid diabetes and substance use diagnoses (SUD) represent a hazardous combination, both in terms of healthcare cost and morbidity. To date, there is limited information about the association of SUD and related mental disorders with type 2 diabetes mellitus (T2DM).

METHODS

We examined the associations between T2DM and multiple psychiatric diagnosis categories, with a focus on SUD and related psychiatric comorbidities among adults with T2DM. We analyzed electronic health record (EHR) data on 170,853 unique adults aged ≥18 years from the EHR warehouse of a large academic healthcare system. Logistic regression analyses were conducted to estimate the strength of an association for comorbidities.

RESULTS

Overall, 9% of adults (n=16,243) had T2DM. Blacks, Hispanics, Asians, and Native Americans had greater odds of having T2DM than whites. All 10 psychiatric diagnosis categories were more prevalent among adults with T2DM than among those without T2DM. Prevalent diagnoses among adults with T2MD were mood (21.22%), SUD (17.02%: tobacco 13.25%, alcohol 4.00%, drugs 4.22%), and anxiety diagnoses (13.98%). Among adults with T2DM, SUD was positively associated with mood, anxiety, personality, somatic, and schizophrenia diagnoses.

CONCLUSIONS

We examined a large diverse sample of individuals and found clinical evidence of SUD and psychiatric comorbidities among adults with T2DM. These results highlight the need to identify feasible collaborative care models for adults with T2DM and SUD related psychiatric comorbidities, particularly in primary care settings, that will improve behavioral health and reduce health risk.

Perceived cannabis use norms and cannabis use among adolescents in the United States

Due to changes in cannabis policies, concerns about cannabis use (CU) in adolescents have increased. The population of nonwhite groups is growing quickly in the United States. We examined perceived CU norms and their association with CU and CU disorder (CUD) for White, Black, Hispanic, Native-American, Asian-American, Native Hawaiian/Pacific Islander (NH/PI), and mixed-race adolescents. Data were from adolescents (12-17 years) in the 2004-2012 National Surveys on Drug Use and Health (N = 163,837). Substance use and CUD were assessed by computer-assisted, self-interviewing methods. Blacks, Hispanics, Native-Americans, and mixed-race adolescents had greater odds of past-year CU and CUD than Whites. Among past-year cannabis users (CUs), Hispanics and Native-Americans had greater odds of having a CUD than Whites. Asian-Americans had the highest prevalence of perceived parental or close friends' CU disapproval. Native-Americans and mixed-race adolescents had lower odds than Whites of perceiving CU disapproval from parents or close friends. In adjusted analyses, adolescent's disapproval of CU, as well as perceived disapproval by parents or close friends, were associated with a decreased odds of CU in each racial/ethnic group, except for NHs/PIs. Adolescent's disapproval of CU was associated with a decreased odds of CUD among CUs for Whites (personal, parental, and close friends' disapproval), Hispanics (personal, parental, and close friends' disapproval), and mixed-race adolescents (personal, close friends' disapproval). Racial/ethnic differences in adolescent CU prevalence were somewhat consistent with adolescents' reports of CU norm patterns. Longitudinal research on CU health effects should oversample nonwhite adolescents to assure an adequate sample for analysis and reporting.

Subclinical depressive symptoms and continued cannabis use: predictors of negative outcomes in first episode psychosis

Background

Although depressive symptoms in first episode psychosis have been associated with cannabis abuse, their influence on the long-term functional course of FEP patients who abuse cannabis is unknown. The aims of the study were to examine the influence of subclinical depressive symptoms on the long-term outcome in first episode-psychosis patients who were cannabis users and to assess the influence of these subclinical depressive symptoms on the ability to quit cannabis use.

Methods

64 FEP patients who were cannabis users at baseline were followed-up for 5 years. Two groups were defined: (a) patients with subclinical depressive symptoms at least once during follow-up (DPG), and (b) patients without subclinical depressive symptoms during follow-up (NDPG). Psychotic symptoms were measured using the Positive and Negative Syndrome Scale (PANSS), depressive symptoms using the Hamilton Depression Rating Scale (HDRS)-17, and psychosocial functioning was assessed using the Global Assessment of Functioning (GAF). A linear mixed-effects model was used to analyze the combined influence of cannabis use and subclinical depressive symptomatology on the clinical outcome.

Results

Subclinical depressive symptoms were associated with continued abuse of cannabis during follow-up (β= 4.45; 95% confidence interval [CI]: 1.78 to 11.17; P = .001) and with worse functioning (β = -5.50; 95% CI: -9.02 to -0.33; P = .009).

Conclusions

Subclinical depressive symptoms and continued cannabis abuse during follow-up could be predictors of negative outcomes in FEP patients.

Substance use disorders and co-morbidities among Asian Americans and Native Hawaiians/Pacific Islanders

BACKGROUND

Asian Americans (AAs) and Native Hawaiians/Pacific Islanders (NHs/PIs) are the fastest growing segments of the US population. However, their population sizes are small, and thus AAs and NHs/PIs are often aggregated into a single racial/ethnic group or omitted from research and health statistics. The groups' substance use disorders (SUDs) and treatment needs have been under-recognized.

METHOD

We examined recent epidemiological data on the extent of alcohol and drug use disorders and the use of treatment services by AAs and NHs/PIs.

RESULTS

NHs/PIs on average were less educated and had lower levels of household income than AAs. Considered as a single group, AAs and NHs/PIs showed a low prevalence of substance use and disorders. Analyses of survey data that compared AAs and NHs/PIs revealed higher prevalences of substance use (alcohol, drugs), depression and delinquency among NHs than among AAs. Among treatment-seeking patients in mental healthcare settings, NHs/PIs had higher prevalences of DSM-IV diagnoses than AAs (alcohol/drug, mood, adjustment, childhood-onset disruptive or impulse-control disorders), although co-morbidity was common in both groups. AAs and NHs/PIs with an SUD were unlikely to use treatment, especially treatment for alcohol problems, and treatment use tended to be related to involvement with the criminal justice system.

CONCLUSIONS

Although available data are limited by small sample sizes of AAs and NHs/PIs, they demonstrate the need to separate AAs and NHs/PIs in health statistics and increase research into substance use and treatment needs for these fast-growing but understudied population groups.

Culture and personality disorder: from a fragmented literature to a contextually grounded alternative

PURPOSE OF REVIEW

The aim of this review is twofold: to review recent literature on personality disorders, published in 2013 and the first half of 2014; and to use recent theoretical work to argue for a contextually grounded approach to culture and personality disorder.

RECENT FINDINGS

Recent large-sample studies suggest that U.S. ethnoracial groups differ in personality disorder diagnostic rates, but also that minority groups are less likely to receive treatment for personality disorder. Most of these studies do not test explanations for these differences. However, two studies demonstrate that socioeconomic status partly explains group differences between African-Americans and European Americans. Several new studies test the psychometric properties of instruments relevant to personality disorder research in various non-Western samples. Ongoing theoretical work advocates much more attention to cultural context. Recent investigations of hikikomori, a Japanese social isolation syndrome with similarities to some aspects of personality disorder, are used to demonstrate approaches to contextually grounded personality disorder research.

SUMMARY

Studies of personality disorder must understand patients in sociocultural context considering the dynamic interactions between personality traits, developmental histories of adversity and current social context. Research examining these interactions can guide contextually grounded clinical work with patients with personality disorder.

Nonmedical stimulant use among young Asian-Americans, Native Hawaiians/Pacific Islanders, and mixed-race individuals aged 12-34 years in the United States

There are concerns over nonmedical use of prescription stimulants among youths, but little is known about the extent of use among young Asian-Americans, Native Hawaiians/Pacific Islanders (NHs/PIs), and mixed-race individuals-the fastest growing segments of the U.S. population. We examined prevalences and correlates of nonmedical stimulant use (NMSU) and disorder (StiUD) for these underrecognized groups. Whites were included as a comparison. Data were from young individuals aged 12-34 years in the 2005-2012 National Surveys on Drug Use and Health. We used logistic regression to estimate odds of past-year NMSU status. Significant yearly increases in lifetime NMSU prevalence were noted in Whites only. NHs/PIs (lifetime 7.33%, past-year 2.72%) and mixed-race individuals (10.20%, 2.82%) did not differ from Whites in NMSU prevalence (11.68%, 3.15%). Asian-Americans (lifetime 3.83%, past-year 0.90%) had lower prevalences than Whites. In each racial/ethnic group, "Methamphetamine/Desoxyn/Methedrine or Ritalin" was more commonly used than other stimulant groups; "got them from a friend/relative for free" and "bought them from a friends/relative" were among the most common sources. Females had greater odds than males of NMSU (among White, NH/PI, mixed-race individuals) and StiUD (among mixed-race individuals). Young adults (aged 18-25) had elevated odds of NMSU (White, NH/PI); adolescents had elevated odds of StiUD (White, mixed-race). Other substance use (especially marijuana, other prescription drugs) increased odds of NMSU and StiUD. NHs/PIs and mixed-race individuals were as likely as Whites to misuse stimulants. Research is needed to delineate health consequences of NMSU and inform prevention efforts for these understudied, rapidly-growing populations.

Sex differences in first-admission psychiatric inpatients with and without a comorbid substance use disorder

OBJECTIVES

We assessed sex differences in a sample of first-admission psychiatric inpatients with and without comorbid substance use disorder (SUD) to identify possible risk factors and targets for sex-tailored treatment interventions.

METHODS

A retrospective study of first admissions to the University Psychiatry Ward, "Maggiore della Carità" Hospital, Novara, Italy, between 2003 and 2012 was accomplished. The clinical charts of patients with (N = 362) and without comorbid SUD (N = 1111) were reviewed.

RESULTS

Differences in employment, educational, and marital statuses were found between male and female psychiatric patients with and without comorbid SUD. Having a degree was a protective factor for males, whereas it was a risk factor for females. Being divorced and having family problems were both risk factors for comorbidity in females. Regarding the diagnosis, results overlapped in males and females, and both affective and other disorders were risk factors for a comorbid SUD.

CONCLUSIONS

A significant difference between male and female psychiatric patients with a comorbid SUD was the males' overall poorer psychosocial functioning. Marital status and family problems were risk factors for comorbid SUD in females. Both males and females showed various pathways of access to and choices of substances and, eventually, experienced different impacts on their lives. Hospitalization might help to set up a targeted intervention for patients with comorbidity, while accounting for sex differences. With respect to males, a treatment approach focused on the substance alone might help improve their functioning; females might have a greater benefit from a treatment approach focused on distress, family problems, and relational issues.

Cannabis use disorders are comparatively prevalent among nonwhite racial/ethnic groups and adolescents: a national study

The racial/ethnic composition of the US population is shifting, with the nonwhite population growing faster than whites. We examined cannabis use disorder (CUD) prevalences and correlates in seven racial/ethnic groups. We included cannabis use (CU) prevalence as a comparison. Data were from the 2005-2011 National Surveys on Drug Use and Health (N = 394,400). Substance use among respondents aged ≥12 years was assessed by computer-assisted, self-interviewing methods. The following were included as control variables: age, sex, family income, government assistance, county type, residential stability, major depressive episode history, arrest history, nicotine dependence, alcohol disorder, and survey year. Past-year CU prevalence increased significantly from 10.45% in 2005 to 11.41-11.54% during 2009-2011. Compared with whites, mixed-race individuals had higher odds of CU; Asian Americans and Hispanics had lower odds of CU. There were no significant yearly changes in CUD prevalence in the sample during 2005-2011 (1.58-1.73%). Compared with whites, individuals who were mixed-race, black, and Native American had higher odds of CUD; Asian Americans had lower odds. In aggregate, 15.35% of past-year cannabis users met criteria for a CUD in the 12-month period. Past-year cannabis users who were black, Native American, Hispanic, or Asian American had higher odds of CUD than white users. In each racial/ethnic group, adolescent cannabis users generally showed greater odds of CUD than adult users. Behavioral health indicators (major depressive episode, arrest history, nicotine dependence, alcohol disorder) were associated with CU and CUD. In conclusion, CUD disproportionally affects nonwhite groups and youth.