Browsing by Author "Zhu, He"

Now showing 1 - 15 of 15

Open Access
Discharge against medical advice from hospitalizations for substance use disorders: The potential impact of the Affordable Care Act.
(Drug and alcohol dependence, 2019-04) Zhu, He; Wu, Li-Tzy
OBJECTIVES:To explore whether the Affordable Care Act (ACA) enactment is associated with changes in the proportion of discharge against medical advice (DAMA) among hospitalizations due to substance use disorders (SUDs). METHODS:Data were drawn from the 2012-2015 National Inpatient Samples. The sample comprised hospitalizations with a principal diagnosis of SUD (i.e., SUD-involved hospitalization) for patients aged 18-64 years (unweighted N = 287,629). Interrupted time series analyses were conducted to evaluate the effect of the ACA on monthly proportions of DAMA among SUD-involved hospitalizations. RESULTS:Overall, approximately 11% of SUD-involved hospitalizations were DAMA. DAMA was most frequently found among hospitalizations for primary opioid use disorder (pre-ACA: 16.4%; post-ACA: 17.2%). Despite the increase in the Medicaid coverage after ACA enactment, there was no significant change in the proportion of DAMA before and after ACA periods across various demographic groups and clinical conditions. Time series analyses also indicated no significant trend effect on the proportion of DAMA during the pre- and post-ACA months. CONCLUSIONS:As many as 1 in 10 SUD-involved hospitalizations were considered as DAMA. Concerted efforts are needed to enhance insurance benefits for SUDs and patients' knowledge of SUD treatment benefits in order to increase SUD treatment engagement and completion and to reduce DAMA, especially for substance-using patients with Medicaid or opioid use disorder.
Open Access
DSM-5 substance use disorders among adult primary care patients: Results from a multisite study.
(Drug and alcohol dependence, 2017-10) Wu, Li-Tzy; McNeely, Jennifer; Subramaniam, Geetha A; Brady, Kathleen T; Sharma, Gaurav; VanVeldhuisen, Paul; Zhu, He; Schwartz, Robert P
BACKGROUND:There are limited data about the extent of DSM-5 substance use disorders (SUDs) among primary care patients. METHODS:This study analyzed data from a multisite validation study of a substance use screening instrument conducted in a diverse sample of 2000 adults aged ≥18 years recruited from five primary care practices in four states. Prevalence and correlates of 12-month DSM-5 SUDs were examined. RESULTS:Overall, 75.5% of the sample used any substance, including alcohol (62.0%), tobacco (44.1%), or illicit drugs/nonmedical medications (27.9%) in the past 12 months (marijuana 20.8%, cocaine 7.3%, opioids 4.8%, sedatives 4.1%, heroin 3.9%). The prevalence of any 12-month SUD was 36.0% (mild disorder 14.2%, moderate/severe disorder 21.8%): tobacco 25.3% (mild 11.5%, moderate/severe 13.8%); alcohol 13.9% (mild 6.9%, moderate/severe 7.0%); and any illicit/nonmedical drug 14.0% (mild 4.0%, moderate/severe 10.0%). Among past 12-month users, a high proportion of tobacco or drug users met criteria for a disorder: tobacco use disorder 57.4% (26.1% mild, 31.3% moderate/severe) and any drug use disorder 50.2% (14.3% mild, 35.8% moderate/severe); a lower proportion of alcohol users (22.4%) met criteria for alcohol use disorder (11.1% mild, 11.3% moderate/severe). Over 80% of adults with opioid/heroin use disorder met criteria for a moderate/severe disorder. Younger ages, male sex, and low education were associated with increased odds of having SUD. CONCLUSION:These findings reveal the high prevalence of SUDs in primary care and underscore the need to identify and address them.
Open Access
Multicomorbidity of chronic diseases and substance use disorders and their association with hospitalization: Results from electronic health records data.
(Drug and alcohol dependence, 2018-11) Wu, Li-Tzy; Zhu, He; Ghitza, Udi E
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.
Open Access
Multiple drug use disorder diagnoses among drug-involved hospitalizations in the United States: Results from the 2016 National Inpatient Sample.
(Drug and alcohol dependence, 2020-06-12) Zhu, He; Wu, Li-Tzy
BACKGROUND:Having more than one drug use disorders (DUDs) is an increasing public health concern, but it has been understudied. The goal of this study is to investigate the prevalence and patterns of coexisting DUD diagnoses among inpatient hospitalizations due to DUD in the United States. METHODS:Data were from the 2016 National Inpatient Sample and included hospitalizations with a principal DUD diagnosis for patients aged ≥18 years (i.e., drug-involved hospitalizations, unweighted n = 31,707). The DUD diagnosis profile was categorized into three groups: single, two, and three or more DUD diagnoses. Generalized ordered logit models were used to examine correlates of DUD diagnosis groups. RESULTS:Among drug-involved hospitalizations, approximately 50.1 % had multiple coexisting DUD diagnoses (2 DUD diagnoses, 32.1 %; ≥3 DUD diagnoses, 18.0 %). Particularly, opioid use disorder accounted for 58.6 % of drug-involved hospitalizations. Among specific opioid-involved hospitalizations, about 51.2 % had multiple DUD diagnoses. The most common secondary DUD diagnoses among opioid-involved hospitalizations included cocaine (21.7 %), cannabis (18.5 %), and sedatives (18.1 %). Adjusted analyses showed that being aged 18-25 years (vs. ≥ 26), living in areas with the lowest quartile of household income (vs. highest), and having a secondary diagnosis of mental disorders or tobacco/alcohol use disorder were associated with increased odds of having multiple DUD diagnoses in the total sample and in the opioid subsample. CONCLUSIONS:Findings suggest that healthcare providers should increase the awareness of multiple DUDs while treating patients with DUD, especially those with opioid use disorder. More research is needed to better characterize treatment needs for patients with multiple DUDs.
Open Access
National trends and characteristics of inpatient detoxification for drug use disorders in the United States.
(BMC public health, 2018-08-29) Zhu, He; Wu, Li-Tzy
BACKGROUND:Prior studies indicate that the opportunity from detoxification to engage in subsequent drug use disorder (DUD) treatment may be missed. This study examined national trends and characteristics of inpatient detoxification for DUDs and explored factors associated with receiving DUD treatment (i.e., inpatient drug detoxification plus rehabilitation) and discharges against medical advice (DAMA). METHODS:We analyzed inpatient hospitalization data involving the drug detoxification procedure for patients aged≥12 years (n = 271,403) in the 2003-2011 Nationwide Inpatient Samples. We compared the estimated rate and characteristics of inpatient drug-detoxification hospitalizations between 2003 and 2011 and determined demographic and clinical correlates of inpatient drug detoxification plus rehabilitation (versus detoxification-only) and DAMA (versus transfer to further treatment). RESULTS:There was no significant yearly change in the population rate of inpatient drug-detoxification hospitalizations during 2003-2011. The majority of inpatient drug detoxification were patients aged 35-64 years, males, and those on Medicaid. Among inpatient drug-detoxification hospitalizations, only 13% received detoxification plus rehabilitation during inpatient care, and up to 14% were DAMA; the most commonly identified diagnoses were opioid use disorder (OUD; 75%) and non-addiction mental health disorders (48%). Being on Medicaid (vs. having private insurance) and having OUD (vs. no OUD) were associated with decreased odds of receiving detoxification plus rehabilitation, as well as increased odds of DAMA. CONCLUSIONS:These findings suggest the presence of a potentially large detoxification-treatment gap for inpatient detoxification patients. They highlight the need for implementing DUD services to improve engagement in receiving further DUD treatment in order to improve recovery and health outcomes.
Open Access
Prevalence and correlates of treatment utilization among adults with cannabis use disorder in the United States.
(Drug and alcohol dependence, 2017-08) Wu, Li-Tzy; Zhu, He; Mannelli, Paolo; Swartz, Marvin S
The increase in cannabis potency may have treatment implications for cannabis use disorder (CUD). Given the reported increase in prevalence of cannabis use among adults, there is a need to understand substance use treatment needs for CUD.We examined demographics and behavioral health indicators of adults aged ≥18 years that met criteria for past-year CUD (n=10,943) in the 2005-2013 National Surveys on Drug Use and Health. We determined prevalence and correlates of past-year treatment use for alcohol/drug, any drug, and cannabis use related problems, to inform treatment efforts for CUD.The majority of adults with past-year CUD were young adults aged 18-25 or men, had low income, and did not attend college. Two-thirds of adults with CUD met criteria for cannabis dependence, which was comparatively common among younger adults, women, low-income or publicly insured adults, and college-educated adults. Nicotine dependence (40.92%) and alcohol (44.07%) or other drug use disorder (19.70%) were prevalent among adults with CUD. Overall, less than 13% of adults with CUD had received alcohol/drug use treatment the past year; only 7.8% received cannabis-specific treatment. There was no significant yearly variation in treatment use prevalence over 9 years. In particular, Asian-Americans, women, and college-educated adults underutilized cannabis-specific treatment.This large sample of adults with CUD reveals pervasive underutilization of cannabis-related treatment, especially in women, married adults, and those with college education, despite a high proportion of comorbid behavioral health problems.
Open Access
Prevalence and patterns of opioid misuse and opioid use disorder among primary care patients who use tobacco.
(Drug and alcohol dependence, 2019-01) John, William S; Zhu, He; Mannelli, Paolo; Subramaniam, Geetha A; Schwartz, Robert P; McNeely, Jennifer; Wu, Li-Tzy
BACKGROUND:Current data suggest that opioid misuse or opioid use disorder (OUD) may be over represented among tobacco users. However, this association remains understudied in primary care settings. A better understanding of the extent of heterogeneity in opioid misuse among primary care patients who use tobacco may have implications for improved primary care-based screening, prevention, and intervention approaches. METHODS:Data were derived from a sample of 2000 adult (aged ≥18) primary care patients across 5 distinct clinics. Among past-year tobacco users (n = 882), we assessed the prevalence of opioid misuse and OUD by sociodemographic characteristics and past-year polysubstance use. Latent class analysis (LCA) was used to identify heterogeneous subgroups of tobacco users according to past-year polysubstance use patterns. Multinomial logistic regression was used to examine variables associated with LCA-defined class membership. RESULTS:Past-year tobacco use was reported by >84% of participants who reported past-year opioid misuse or OUD. Among those reporting past-year tobacco use, the prevalence of past-year opioid misuse and OUD was 14.0% and 9.5%, respectively. The prevalence of opioid misuse or OUD was highest among tobacco users who were male or unemployed. Three LCA-defined classes among tobacco users were identified including a tobacco-minimal drug use group (78.0%), a tobacco-cannabis use group (10.1%), and a tobacco-opioid/polydrug use group (11.9%). Class membership differed by sociodemographic characteristics. CONCLUSIONS:Results from this study support the benefit of more comprehensive assessment of and/or monitoring for opioid misuse among primary care patients who use tobacco, particularly for those who are male, unemployed, or polydrug users.
Open Access
Prevalence, patterns, and correlates of multiple substance use disorders among adult primary care patients.
(Drug and alcohol dependence, 2018-06) John, William S; Zhu, He; Mannelli, Paolo; Schwartz, Robert P; Subramaniam, Geetha A; Wu, Li-Tzy
BACKGROUND:Addressing multiple substance use disorders (SUDs) in primary care-based screening and intervention may improve SUD treatment access, engagement, and outcomes. To inform such efforts, research is needed on the prevalence and patterns of multiple SUDs among primary care patients. METHODS:Data were analyzed from a sample of 2000 adult (aged ≥ 18) primary care patients recruited for a multisite National Drug Abuse Treatment Clinical Trials Network (CTN) study (CTN-0059). Past-year DSM-5 SUDs (tobacco, alcohol, and drug) were assessed by the modified Composite International Diagnostic Interview. Prevalence and correlates of multiple versus single SUDs were examined. Latent class analysis (LCA) was used to explore patterns of multiple SUDs. RESULTS:Multiple SUDs were found among the majority of participants with SUD for alcohol, cannabis, prescription opioids, cocaine, and heroin. Participants who were male, ages 26-34, less educated, and unemployed had increased odds of multiple SUDs compared to one SUD. Having multiple SUDs was associated with greater severity of tobacco or alcohol use disorder. LCA of the sample identified three classes: class 1 (83.7%) exhibited low prevalence of all SUDs; class 2 (12.0%) had high-moderate prevalence of SUDs for tobacco, alcohol, and cannabis; class 3 (4.3%) showed high prevalence of SUD for tobacco, opioids, and cocaine. LCA-defined classes were distinguished by sex, age, race, education, and employment status. CONCLUSIONS:Findings suggest that primary care physicians should be aware of multiple SUDs when planning treatment, especially among adults who are male, younger, less educated, or unemployed. Interventions that target multiple SUDs warrant future investigation.
Open Access
Recent and active problematic substance use among primary care patients: Results from the alcohol, smoking, and substance involvement screening test in a multisite study.
(Substance abuse, 2021-04-02) John, William S; Zhu, He; Greenblatt, Lawrence H; Wu, Li-Tzy
Background: Primary care settings provide salient opportunities for identifying patients with problematic substance use and addressing unmet treatment need. The aim of this study was to examine the extent and correlates of problematic substance use by substance-specific risk categories among primary care patients to inform screening/intervention efforts. Methods: Data were analyzed from 2000 adult primary care patients aged ≥18 years (56% female) across 5 clinics in the eastern U.S. Participants completed the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Prevalence and ASSIST-defined risk-level of tobacco use, alcohol use, and nonmedical/illicit drug use was examined. Multinomial logistic regression models analyzed the demographic correlates of substance use risk-levels. Results: Among the total sample, the prevalence of any past 3-month use was 53.9% for alcohol, 42.0% for tobacco, 24.2% for any illicit/Rx drug, and 5.3% for opioids; the prevalence of ASSIST-defined moderate/high-risk use was 45.1% for tobacco, 29.0% for any illicit/Rx drug, 14.2% for alcohol, and 9.1% for opioids. Differences in the extent and risk-levels of substance use by sex, race/ethnicity, and age group were observed. Adjusted logistic regression showed that male sex, white race, not being married, and having less education were associated with increased odds of moderate/high-risk use scores for each substance category; older ages (versus ages 18-25 years) were associated with increased odds of moderate/high-risk opioid use. Conclusions: Intervention need for problematic substance use was prevalent in this sample. Providers should maintain awareness and screen for problematic substance use more consistently in identified high risk populations.
Open Access
Sex Differences in Cannabis Use Disorder Diagnosis Involved Hospitalizations in the United States.
(J Addict Med, 2017-07-11) Zhu, He; Wu, Li-Tzy
OBJECTIVES: The study examined sex differences in trend and clinical characteristics of cannabis use disorder (CUD) diagnosis involved hospitalizations among adult patients. METHODS: We analyzed hospitalization data from the 2007-2011 Nationwide Inpatient Samples for patients aged 18-64 years (N = 15,114,930). Descriptive statistics were used to characterize demographic variables and to compare the proportions of CUD diagnosis and comorbid patterns between male and female hospitalizations. Logistic regressions were performed to examine the association of sex and other demographic variables with CUD diagnosis. RESULTS: During the study period, 3.3% of male and 1.5% of female hospitalizations had any-listed CUD diagnoses, and both sexes presented an upward trend in the number, rate, and proportion of CUD diagnosis. Among hospitalizations for patients aged 18-25 years, about 1 in 10 males and 1 in 20 females included a CUD diagnosis, and this proportion decreased with age strata. Mental disorders accounted for the highest proportion of CUD involved inpatient hospitalizations, and female CUD involved hospitalizations included a higher proportion of mental disorders that required hospitalized care compared with male hospitalizations (41% vs 36%). In each sex group, younger age, black race, lower household income, large metropolitan residence, non-private insurance, substance use diagnosis, and mental disorders were associated with elevated odds of having CUD diagnosis. CONCLUSION: The large sample of clinical hospitalization data suggest an increased trend in CUD diagnosis and sex differences in several comorbidities with CUD-involved hospital admissions. Prevention and treatment for CUD should consider sex differences in clinical comorbidities.This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0.
Open Access
Substance use disorders and medical comorbidities among high-need, high-risk patients with diabetes.
(Drug and alcohol dependence, 2018-05) Wu, Li-Tzy; Ghitza, Udi E; Zhu, He; Spratt, Susan; Swartz, Marvin; Mannelli, Paolo
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.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).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.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.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.
Open Access
The Association of Gasoline Prices With Hospital Utilization and Costs for Motorcycle and Nonmotorcycle Motor Vehicle Injuries in the United States.
(Medical care, 2016-09) Zhu, He; Wilson, Fernando A; Stimpson, Jim P; Araz, Ozgur M; Kim, Jungyoon; Chen, Baojiang; Wu, Li-Tzy
This study examined the association between gasoline prices and hospitalizations for motorcycle and nonmotorcycle motor vehicle crash (MVC) injuries.Data on inpatient hospitalizations were obtained from the 2001 to 2010 Nationwide Inpatient Sample. Panel feasible generalized least squares models were used to estimate the effects of monthly inflation-adjusted gasoline prices on hospitalization rates for MVC injuries and to predict the impact of increasing gasoline taxes.On the basis of the available data, a $1.00 increase in the gasoline tax was associated with an estimated 8348 fewer annual hospitalizations for nonmotorcycle MVC injuries, and reduced hospital costs by $143 million. However, the increase in the gasoline tax was also associated with an estimated 3574 more annual hospitalizations for motorcycle crash injuries, and extended hospital costs by $73 million.This analysis of some existing data suggest that the increased utilization and costs of hospitalization from motorcycle crash injuries associated with an increase in the price of gasoline are likely to substantially offset reductions in nonmotorcycle MVC injuries. A policy decision to increase the gasoline tax could improve traffic safety if the increased tax is paired with public health interventions to improve motorcycle safety.
Open Access
Treatment utilization among persons with opioid use disorder in the United States.
(Drug Alcohol Depend, 2016-12-01) Wu, Li-Tzy; Zhu, He; Swartz, Marvin S
BACKGROUND: The United States is experiencing an opioid overdose epidemic. Treatment use data from diverse racial/ethnic groups with opioid use disorder (OUD) are needed to inform treatment expansion efforts. METHODS: We examined demographic characteristics and behavioral health of persons aged ≥12 years that met criteria for past-year OUD (n=6,125) in the 2005-2013 National Surveys on Drug Use and Health (N=503,101). We determined the prevalence and correlates of past-year use of alcohol/drug use treatment and opioid-specific treatment to inform efforts for improving OUD treatment. RESULTS: Among persons with OUD, 81.93% had prescription (Rx) OUD only, 9.75% had heroin use disorder (HUD) only, and 8.32% had Rx OUD+HUD. Persons with Rx OUD+HUD tended to be white, adults aged 18-49, males, or uninsured. The majority (80.09%) of persons with OUD had another substance use disorder (SUD), and major depressive episode (MDE) was common (28.74%). Of persons with OUD, 26.19% used any alcohol or drug use treatment, and 19.44% used opioid-specific treatment. Adolescents, the uninsured, blacks, native-Hawaiians/Pacific-Islanders/Asian-Americans, persons with Rx OUD only, and persons without MDE or SUD particularly underutilized opioid-specific treatment. Among alcohol/drug use treatment users, self-help group and outpatient rehabilitation treatment were commonly used services. CONCLUSIONS: Most people with OUD report no use of OUD treatment. Multifaceted interventions, including efforts to access insurance coverage, are required to change attitudes and knowledge towards addiction treatment in order to develop a supportive culture and infrastructure to enable treatment-seeking. Outreach efforts could target adolescents, minority groups, and the uninsured to improve access to treatment.
Open Access
Trends and Correlates of Cannabis-involved Emergency Department Visits: 2004 to 2011.
(Journal of addiction medicine, 2016-11) Zhu, He; Wu, Li-Tzy
To examine trends and correlates of cannabis-involved emergency department (ED) visits in the United States from 2004 to 2011.Data were obtained from the 2004 to 2011 Drug Abuse Warning Network. We analyzed trend in cannabis-involved ED visits for persons aged ≥12 years and stratified by type of cannabis involvement (cannabis-only, cannabis-polydrug). We used logistic regressions to determine correlates of cannabis-involved hospitalization versus cannabis-involved ED visits only.Between 2004 and 2011, the ED visit rate increased from 51 to 73 visits per 100,000 population aged ≥12 years for cannabis-only use (P value for trend = 0.004) and from 63 to 100 for cannabis-polydrug use (P value for trend < 0.001). Adolescents aged 12-17 years showed the largest increase in the cannabis-only-involved ED visit rate (rate difference = 80 per 100,000 adolescents). Across racial/ethnic groups, the most prevalent ED visits were noted among non-Hispanic blacks. Among cannabis-involved visits, the odds of hospitalization (vs ED visits only) increased with age strata compared with age 12 to 17 years.These findings suggest a notable increase in the ED visit numbers and rates for both the use of cannabis-only and cannabis-polydrug during the studied period, particularly among young people and non-Hispanic blacks.
Open Access
Trends in cannabis use disorders among racial/ethnic population groups in the United States.
(Drug and alcohol dependence, 2016-08) Wu, Li-Tzy; Zhu, He; Swartz, Marvin S
BACKGROUND:Minority groups generally experience more disparities than whites in behavioral healthcare use. The population of racial/ethnic groups is growing faster than whites. Given increased concerns of cannabis use (CU) and its associations with health conditions, we examined national trends in cannabis use disorder (CUD) among adults aged ≥18 by race/ethnicity. METHODS:Data were from the 2005-2013 National Surveys on Drug Use and Health (N=340,456). We compared CU patterns and the conditional prevalence of CUD among cannabis users by race/ethnicity to understand racial/ethnic variations in CUD. RESULTS:Approximately 1.5% of adults met criteria for a CUD in the past year. Regardless of survey year, cannabis dependence was more common than cannabis abuse, representing 66% of adults with a CUD. Across racial/ethnic groups, the prevalence of cannabis abuse and dependence remained stable during 2005-2013. In the total adult sample, the odds of weekly CU, monthly CU, and cannabis dependence were greater among blacks, native-Americans, and mixed-race adults than whites. Among cannabis users, the odds of cannabis abuse and dependence were greater among blacks, native-Americans, and Hispanics than whites. Logistic regression controlling for age, sex, education, and survey year indicated an increased trend in monthly CU and weekly CU in the total sample and among past-year cannabis users. Younger age, male sex, and low education were associated with increased odds of cannabis dependence. CONCLUSIONS:The large sample provides robust information that indicates a need for research to monitor CUD and identify culturally appropriate interventions especially for targeting minority populations.