Introduction
Asian Americans (AAs) include people with origins in the Far East, Southeast Asia and the Indian subcontinent (Asian Indians, Chinese, Filipinos, Japanese, Koreans, Vietnamese, and other Asians). Native Hawaiians and other Pacific Islanders (NHs/PIs) include people having origins in Hawaii, Guam, Samoa, or other Pacific Islands. Data from the 2010 US Census showed that AAs and NHs/PIs were the fastest growing segments of the US population (US Census Bureau, 2011), increasing at least three times faster than the total US population. In 2011, an estimated 18.2 million AAs and 1.4 million NHs/PIs were US residents (US Census Bureau, 2013).
Substance use disorders (SUDs) and treatment needs among AAs and NHs/PIs have been understudied in comparison with other racial/ethnic groups. In the 1990 census, self-designated AAs and NHs/PIs were classified as one group. A 1997 directive from the Office of Management and Budget called for separating AAs and NHs/PIs in census reporting, and in 2000 the census began reporting the groups separately. Epidemiological and clinical studies of substance use and SUDs have often combined the two groups as ‘Asian Americans and Pacific Islanders (AAPI)’ or reported the pooled groups as simply ‘Asians’, which is not optimal for a variety of reasons. At least 20 subgroups make up the 17 million people who designate themselves as AAs and NHs/PIs (SAMHSA, 2010a ). The statistical power in almost all data sets used to estimate prevalence and correlates of SUDs is not sufficient to disaggregate the individual groups.
The acculturation and enculturation experiences of AAs and NHs/PIs in the dominant Caucasian culture have been vastly different. AAs have arrived in the USA as immigrants (e.g. the arrival of the first Japanese immigrants in 1843 and the role of Chinese workers in building the transcontinental railroad during 1865–1869), and even today, the majority of AAs are foreign-born (SAMHSA, 2010a ). By contrast, NHs/PIs are natives of their homelands, which have been annexed by the USA and populated by dominant American racial/ethnic groups. Many NHs/PIs move away from their native homes to other geographic locations in the USA. These differences in background between the groups may contribute to different substance use behaviors.
In response to the growing sizes of AAs and NHs/PIs and the need for empirical data to inform research efforts and health policy, we reviewed population and clinical data about substance use, SUDs (alcohol and drugs) and SUD treatment use by these two groups. To provide the context for the review, we described national data on demographics of AAs and NHs/PIs, compared prevalences of alcohol and drug use, and summarized estimates of SUDs. Finally, we considered prevalences of use of alcohol or drug abuse services and psychiatric co-morbidities as they related to treatment needs for AAs and NHs/PIs.
Method
We searched PubMed and Google Scholar using the key words Asian Americans, Native Hawaiians, Pacific Islanders, substance use, alcohol use, marijuana use, drug use, SUD (alcohol, drugs), substance abuse treatment, and co-morbidity. We excluded case reports, non-empirical (data-based) reports, and publications not in English. We used the related citations link to find additional publications. To reflect recent trends in substance use among AAs and NHs/PIs, we focused on the findings from population-based studies in the past 5 years that had an adequate sample size.
Demographics of Asian Americans versus Native Hawaiians/Pacific Islanders
AAs are the fastest growing racial/ethnic group in the country (see Table 1). By 2050, AAs are projected to make up about 9% (40.6 million) of the US population (US Census, 2011b). Two-thirds of AAs are foreign-born; 57% of these were naturalized US citizens in 2010. Forty-two percent speak English well, yet only 11% speak only English. The vast majority (76%) of AAs live in large metropolitan areas (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ). One half of the AA-alone population aged ⩾25 years have a bachelor's degree or higher level of education (US Census, 2013). AAs resemble Whites in having higher levels of family income than other racial/ethnic groups (DeNavas-Walt et al. Reference DeNavas-Walt, Proctor and Smith2012; Wu et al. Reference Wu, Brady, Mannelli, Killeen and ;2014).
Table 1. Demographics of Asian Americans and Native Hawaiians/Pacific Islanders in the USA
Sources of data: US census (2012a,b, 2013).
NHs/PIs (1.4 million in 2011) are growing in numbers at 3–4 times the rate of the overall US population (US Census, 2012b , 2013). States with relatively high proportions of NHs/PIs are Hawaii, Alaska, Utah, Nevada and Washington (US Census, 2012a ). Just over half of NHs/PIs live in large metropolitan areas (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ). The NH/PI population (median age: 27.1 years) is younger than the AA population (median age: 33.5 years) and the overall US population (median age: 37.3 years) (US Census, 2013). About 30% speak a language other than English at home (HHS, 2013). In 2011, 14.5% of NHs/PIs aged ⩾25 years had a bachelor's degree or higher level of education (US Census, 2013). In summary, NHs/PIs are less educated and less likely to be foreign-born compared to AAs, and they are more likely to speak English as their only language.
Alcohol and drug use
Because studies of SUDs typically include a small sample size of AAs and NHs/PIs, research has focused mainly on descriptive prevalences of alcohol and any drug use (see Table 2). AAs and NHs/PIs have either been pooled into an ‘AAPI’ group or combined with other racial/ethnic groups as ‘other’. There is limited information about prevalences of use of illicit drugs among AAs versus NHs/PIs (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c ). Earlier studies of AAs show that those who were born in the USA and AAs of mixed heritage had elevated prevalences of alcohol/drug use (Price et al. Reference Price, Risk, Wong and Klingle2002; Wong et al. Reference Wong, Klingle and Price2004).
Table 2. Prevalences of alcohol and illicit/non-medical drug use among Asian Americans (AAs) and Native Hawaiians/Pacific Islanders (NHs/PIs)
NSDUH, National Survey on Drug Use and Health; YRBSS, Youth Risk Behavior Surveillance System; OR, odds ratio; CI, confidence interval.
A 2010 report used data from the 2004–2008 National Surveys on Drug Use and Health (NSDUH) to present findings on alcohol and drug use prevalences among AAs aged ⩾18 years (SAMHSA, 2010a ). AAs had lower past-month prevalences of alcohol and drug use than the national average: alcohol use (39.8% v. 55.2%), binge alcohol use (13.2% v. 24.5%) and illicit/non-medical drug use (3.4% v. 7.9%). Past-month alcohol use was reported by 51.9% of Korean Americans, 48.3% of Japanese Americans, 41.3% of Chinese Americans, 38.7% of Vietnamese Americans, 38.1% of Filipino Americans and 32.1% of Asian Indians. Binge drinking varied from 25.9% among Korean Americans to 8.4% among Chinese Americans (Filipino Americans 15.0%, Japanese Americans 14.5%, Vietnamese Americans 14.0%, and Asian Indians 9.5%). The prevalence of any illicit or non-medical drug use also varied (Korean Americans 5.3%, Japanese Americans 6.2%, Chinese Americans 2.1%, Vietnamese Americans 5.3%, Filipino Americans 3.2%, and Asian Indians 2.1%).
A similar pattern is noted for substance use among adolescents (12–17 years) from the pooled 2004–2009 NSDUH data (SAMHSA, 2011), as shown in Table 2. Prevalence of alcohol use ranged from 9.7% among Filipino Americans to 5.1% among Asian Indians 5.1%. Marijuana use varied from 5.2% among Korean Americans to 1.0% among Asian Indians. Available drug use estimates for NHs/PIs are even more limited, as studies have often pooled NHs/PIs with other racial/ethnic groups. Studies that separated AAs and NHs/PIs in the analysis have demonstrated differences in behavioral and mental health between AAs and NHs/PIs (Wong et al. Reference Wong, Klingle and Price2004; Kim & McCarthy, Reference Kim and McCarthy2006; Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ,Reference Wu, Blazer, Swartz, Burchett, Brady and ; b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c ). For example, Lowry et al. (Reference Lowry, Eaton, Brener and Kann2011) pooled data from 4 years (2001, 2003, 2005, and 2007) of the Youth Risk Behavior Survey to examine behavioral health among high school students (n = 56 773). NHs/PIs had higher prevalences than AAs in current substance use (see Table 2), and also in being sexually active, carrying a weapon, engaging in a physical flight, suicidal ideation, and attempting suicide. Higher prevalences of these behavioral health indicators were observed in both genders of NHs/PIs and showed little gender differences. Overall, AAs showed lower prevalences, and NHs/PIs were similar to Whites, Blacks and Hispanics in prevalence of these behavioral health indicators (Lowry et al. Reference Lowry, Eaton, Brener and Kann2011).
Recently, Wu et al. (Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ) examined national trends in illicit/non-medical drug use prevalences among AAs and NHs/PIs aged ⩾12 years for 2005–2011 (n = 275 685) (see Table 2). Between 2005 and 2011, there were no significant variations in past-year prevalences of drug use among NHs/PIs and AAs. Drug use was much more common among NHs/PIs than AAs and Whites. Controlling for multiple covariates, NHs/PIs showed higher adjusted odds ratios (aORs) than AAs for any drug use [aOR 1.70, 95% confidence interval (CI) 1.20–2.40], marijuana use (aOR 1.72, 95% CI 1.12–2.63) and heroin use (aOR 5.06, 95% CI 1.25–20.49). Adjusted analyses also found that NHs/PIs resembled Whites in odds of use of most drugs.
Regardless of race/ethnicity, age was the most reliable correlate of recent illicit or non-medical drug use among AAs and NHs/PIs, which generally showed an increase in adolescence and young adulthood, then a decline thereafter (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b , Reference Wu, Brady, Mannelli, Killeen and ;2014). Low household income was associated with elevated odds of drug use among AAs but not among NHs/PIs; other demographics (e.g. gender, urbanicity, residential move) were inconsistent correlates of drug use. However, behavioral and mental health variables (e.g. delinquency, being arrested, tobacco use, alcohol use, major depression) were associated with past-year drug use among both AAs and NHs/PIs (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b , Reference Wu, Brady, Mannelli, Killeen and ;2014).
Alcohol and drug use disorders
Data from the 2001–2003 National Comorbidity Survey Replication (NCS-R) showed that about 7.9% of White, 6.3% of Black and 9.1% of Hispanic adults aged ⩾18 years met criteria for having a past-year alcohol use disorder (Breslau et al. Reference Breslau, Kendler, Su, Gaxiola-Aguilar and Kessler2005). However, because of the small sample size, estimates for AAs and NHs/PIs are not available. The 2001–2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) included a total of 1332 AA/NH/PI adults aged ⩾18 years. In the NESARC, the pooled AAs/NHs/PIs had a lower prevalence of past-year alcohol use disorder than other groups (Hasin et al. Reference Hasin, Stinson, Ogburn and Grant2007), and there were slighter racial/ethnic differences in the prevalence of past-year drug use disorder (Compton et al. Reference Compton, Thomas, Stinson and Grant2007), as shown in Table 3.
Table 3. Alcohol and drug use disorders among Asian Americans (AAs) and Native Hawaiians/Pacific Islanders (NHs/PIs)
NESARC, National Epidemiologic Survey on Alcohol and Related Conditions; NSDUH, National Survey on Drug Use and Health.
Among adolescents (age 12–17 years), analyses of data from the 2005–2008 NSDUH (n = 72 561) showed that the pooled AA/NH/PI group was similar to Blacks in prevalence of past-year SUDs but had lower prevalences than Whites, Hispanics, Native Americans and mixed-race people (Wu et al. Reference Wu, Woody, Yang, Pan and Blazer2011). Conditional prevalences of alcohol or drug use disorders among alcohol or drug users (the liability to abuse or dependence given use) suggested that the pooled AA/NH/PI group was similar to Blacks in the prevalence of drug use disorder given use (Wu et al. Reference Wu, Woody, Yang, Pan and Blazer2011).
In an analysis of SUDs by emergency department use in national samples of adults aged ⩾18 years (n = 113 672), pooled AAs/NHs/PIs also showed a comparatively low prevalence of SUDs given use (Wu et al. Reference Wu, Swartz, Wu, Mannelli, Yang and Blazer2012). Among past-year alcohol or drug users who received care in an emergency department setting, 11.7% of pooled AAs/NHs/PIs, 15.2% of Whites, 18.0% of Blacks, 17.2% of Hispanics, 28.7% of Native Americans and 23.6% of mixed-race adults met criteria for having an SUD. In controlled analyses, AAs/NHs/PIs did not differ from alcohol-using Whites in the odds of alcohol use disorders but drug-using AAs/NHs/PIs had lower odds of drug use disorders than drug-using Whites.
A more recent study of marijuana use disorder in a national sample of persons aged ⩾12 years separated NHs/PIs and AAs (Wu et al. Reference Wu, Brady, Mannelli, Killeen and ;2014) (see Table 3). In the overall sample, more NHs/PIs than AAs used marijuana in the past year but there were no significant differences in past-year marijuana use disorder in either the total sample (1.3% v. 0.8%) or the subsample of marijuana users (12.6% v. 17.0%). Controlling for sociodemographic variables, AAs and Hispanics had lower odds of marijuana use than Whites, the odds for Blacks and Native Americans resembled those of Whites, and mixed-race persons had greater odds than Whites of using marijuana. Among marijuana users, AAs had greater odds than Whites of having a marijuana use disorder (aOR 1.88, 95% CI 1.39–2.55), and NH/PI marijuana users were as likely as White users to have a marijuana use disorder. In both AA and NH/PI groups, younger age (especially 12–17 years) and a greater frequency of marijuana use (⩾52 days in a year) were robust correlates of marijuana use disorder.
Use of alcohol or drug abuse treatment services
Surveys of the general populations
Comparisons of national survey data between the 1991–1992 National Longitudinal Alcohol Epidemiologic Survey and the 2001–2002 NESARC showed some declines in the prevalence of any lifetime treatment service use (addiction or mental health programs, non-specialty medical services, mutual aid, human services, or other service) for alcohol problems among adults with a lifetime alcohol use disorder between the years 1991–1992 and 2001–2002 (Whites 20.3% v. 14.0%, Blacks 22.2% v. 17.1%, Hispanics 19.6% v. 16.2% respectively) but results are not available for AAs and NHs/PIs (Chartier & Caetano, Reference Chartier and Caetano2011).
Findings from the 2001–2002 NESARC indicated that fewer AAs/NHs/PIs with a lifetime alcohol use disorder than other racial/ethnic groups with an alcohol use disorder had ever received any treatment or service for alcohol problems in their lifetime (Cohen et al. Reference Cohen, Feinn, Arias and Kranzler2007) (see Table 4).
Table 4. Substance abuse service use and co-morbidity among Asian Americans (AAs) and Native Hawaiians/Pacific Islanders (NHs/PIs)
CPES, Collaborative Psychiatric Epidemiology Surveys; NESARC, National Epidemiologic Survey on Alcohol and Related Conditions; NHSDA, National Household Survey on Drug Use; NSDUH, National Survey on Drug Use and Health; OR, odds ratio; CI, confidence interval.
Any use of treatment services included use of treatment or service at specialty (addiction or mental health) programs, non-specialty medical services, mutual aid, non-specialty human services, or other settings.
In a recent report that analyzed the combined 2003–2011 NSDUH data (SAMHSA, 2013), 4.9% of pooled AAs/NHs/PIs aged ⩾12 years were estimated to need treatment for alcohol (3.9%) or drug (1.4%) abuse (i.e. having a DSM-IV alcohol or drug use disorder or receiving treatment for alcohol or drug use at an addiction or mental health service setting in the past year). Among AAs/NHs/PIs aged 18–25, males and those without health insurance had a higher proportion of needing alcohol or drug abuse treatment services than adolescents and adults older than 25. Among AAs/NHs/PIs with a need for alcohol or abuse treatment services in the past year, 5.3% received alcohol or abuse treatment at a specialty setting (addiction or mental health programs) in the past year. In addition, more AAs/NHs/PIs with a need for illicit drug abuse treatment received specialty treatment (10.9%) than AAs/NHs/PIs with a need for alcohol abuse treatment received specialty treatment (3.7%) (SAMHSA, 2013). These data indicate substantial unmet needs for SUD treatment.
Available but limited national survey data for adolescents suggest few racial/ethnic differences in the prevalence of any substance abuse treatment use among adolescents. Among adolescents aged 12–17 with a past-year alcohol or drug use disorder, Cummings et al. (Reference Cummings, Wen and Druss2011) found that more Native Americans than AAs used any substance abuse treatment in the past year. Mixed race individuals fell between these two groups (see Table 4).
Clinical samples
Treatment use data from the New York statewide substance abuse treatment and discharge database showed that AAs represented a small proportion (<1%) of the patients in the sample (Yu & Warner, Reference Yu and Warner2013; Yu et al. Reference Yu, Warner, Haverly and Lambert-Wacey2014). About 82% of AA patients were male; the mean age of AAs was 34.6 years, which did not differ significantly from Whites, Blacks and Hispanics. Close to 64% of AA patients reported English as their primary language. More AAs had only one treatment episode (71%) in the database than Whites (65%), Blacks (56%) and Hispanics (53%). The data suggested that AAs (43%) may be more likely than Whites (31%), Blacks (39%) and Hispanics (37%) to enter treatment through the criminal justice system (Yu et al. Reference Yu, Warner, Haverly and Lambert-Wacey2014).
The Treatment Episode Data Set (TEDS), which collects demographic and substance abuse characteristics of admissions to treatment for abuse of alcohol and/or drugs in facilities that report to individual state administrative data systems, includes substance abuse treatment admission data for pooled AAs/NHs/PIs. AAs/NHs/PIs accounted for 1% of all TEDS admissions, and alcohol was the primary substance involved in 46% of male AA/NH/PI admissions and 38% of female AA/NH/PI admissions. Among male AAs/NHs/PIs, marijuana (21%) and amphetamines/methamphetamines (17%) were more frequently identified than opiates (9%) and cocaine (5%). Among female AAs/NHs/PIs, amphetamines/methamphetamines (23%) and marijuana (19%) were more commonly identified than opiates (13%) and cocaine (5%) (SAMHSA, 2012).
Compared with patterns of substance use in the overall AA/NH/PI admissions, illicit drugs accounted for a high proportion of treatment admissions among young AAs/NHs/PIs (ages 18–25 years) in TEDS. Among these young adults, alcohol was the primary substance involved in 34% of male admissions and 26% of female admissions (SAMHSA, 2010b ). Methamphetamines and marijuana were the two primary drug classes involved in treatment admissions for AAs/NHs/PIs aged 18–25. The most common source of referrals for young AA/NH/PI admissions was the criminal justice system (male 65%, female 44%), followed by self-referral (male 19%, female 26%) and other community organizations (male 7%, female 17%). Other medical settings accounted for a very low proportion (<7%) of referrals for substance abuse treatment admissions (SAMHSA, 2010b ).
Collectively, the treatment use data from pooled AAs/NHs/PIs in TEDS suggest high proportions of illicit drug-related admissions among young adults, greater methamphetamine use problems among females, and greater marijuana use problems among males. AAs/NHs/PIs with substance abuse problems may be unlikely to be identified or referred to substance abuse treatment by health-care providers.
SUD prevalences among AAs, NHs/PIs and mixed-race people aged ⩽90 years (n = 4572) were examined by Wu et al. (Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ) in a behavioral health database. DSM-IV diagnoses among patients from 11 hospitals and mental health facilities were systematically captured by an Electronic Health Record system. Overall, 11.3% of AAs aged ⩾12 years had an SUD (3.7% having at least two SUDs). Adolescents aged 12–17 (10.1%) had a higher prevalence of cannabis diagnosis than adults aged 35–49 (10.1% v. 2.1%). In the adjusted analysis, AA adolescents and young adults (18–34 years) were two to three times more likely than older adults (⩾50 years) to have an SUD. Overall, 20.1% of NHs/PIs aged ⩾12 years had an SUD (6.5% having at least two SUDs). Adolescents and young adults aged 18–34 had higher prevalences of cannabis diagnosis than NHs/PIs aged ⩾35 years, whereas alcohol, cocaine and polysubstance diagnoses were more prevalent among adults than adolescents. Compared with AAs, NHs/PIs had higher odds of having an SUD (aOR 2.62, 95% CI 2.00–3.42) and multiple SUDs (aOR 2.41, 95% CI 1.55–3.76), even after the analysis was adjusted for age at first treatment, sex, treatment setting, length in psychiatric treatment, and the number of other co-morbid diagnoses. Greater length of psychiatric treatment among NHs/PIs was positively associated with having at least two SUDs. In both groups, males were more likely than females to have an SUD or at least two SUDs (Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ). In summary, treatment-seeking NH/PIs showed a higher SUD prevalence than treatment-seeking AAs.
Psychiatric co-morbidities
Psychiatric co-morbidities can intensify clinical courses and affect treatment outcomes of individuals with an SUD (Najt et al. Reference Najt, Fusar-Poly and Brambilla2011). However, there are very limited co-morbidity data available for AAs and NHs/PIs. Of the pooled AAs/NHs/PIs (n = 1332) in the 2001–2002 NESARC, 7.4% had a past-year mood disorder (similar to Whites, 9.4%), 6.9% had a past-year anxiety disorder (lower than Whites, 11.7%), and 10.1% had a personality disorder (lower than Whites, 14.6%) (Huang et al. Reference Huang, Grant, Dawson, Stinson, Chou, Saha, Goldstein, Smith, Ruan and Pickering2006). In the NESARC, lifetime alcohol use disorder among pooled AAs/NHs/PIs (n = 1332) was associated with past-year mood disorder (aOR 3.6, 95% CI 1.4–8.9), anxiety disorder (aOR 3.6, 95% CI 1.4–8.9) and personality disorder (aOR 5.0, 95% CI 2.1–12.0). Because of the small sample size, associations of drug use disorder with other mental disorder are unclear. In another analysis of more recent national samples, past-year drug use among AAs was associated with major depressive episode (aOR 1.85, 95% CI 1.26–2.71) (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ), and past-year marijuana use disorder among AA marijuana users was associated with major depressive episode (aOR 2.11, 95% CI 1.10–4.05) (Wu et al. Reference Wu, Brady, Mannelli, Killeen and ;2014).
Using a pooled sample from the Collaborative Psychiatric Epidemiology Surveys (including the NCS-R, National Survey of American Life, and National Latino and Asian American Study), Mericle et al. (Reference Mericle, Ta Park, Holck and Arria2012) compared lifetime co-morbid prevalences of psychiatric disorders among AAs. Co-morbidity was high, as shown in Table 4. AAs with co-morbid SUD and other mental disorders did not differ from Whites, Blacks and Hispanics in the prevalence of prior psychiatric hospitalization (22.8% in AAs), history of attempted suicide (17.2% in AAs) and difficulty in paying bills (57.6% in AAs). However, a higher proportion of AAs with co-morbid SUD and other mental disorders were unemployed compared with Whites (21.1% v. 2.5%) (Mericle et al. Reference Mericle, Ta Park, Holck and Arria2012).
Research on electronic health record data of community residents (n = 4572) provided clinical profiles of AAs and NHs/PIs who accessed mental or substance abuse care at one of the 11 hospitals and mental health centers (Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ). Comparisons between treatment-seeking AAs with an SUD and treatment-seeking AAs without an SUD showed no significant differences in diagnoses for mood (50.0% among AAs with an SUD v. 54.7% among AAs without an SUD), anxiety (26.0% v. 31.3%), adjustment (14.4% v. 22.7%) or personality disorder (14.4% v. 8.8%); schizophrenic or psychotic (13.5% v. 17.9%); attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder and disruptive behavior (8.7% v. 7.7%); or eating (3.8% v. 3.4%), cognitive (1.9% v. 2.6%) or impulse-control disorder (1.0% v. 1.7%). Comparisons between treatment-seeking NHs/PIs with an SUD and treatment-seeking NHs/PIs without an SUD indicated significant differences in diagnoses for mood (73.6% among NHs/PIs with an SUD v. 64.2% among NHs/PIs without an SUD), adjustment (33.6% v. 43.6%) and personality disorder (20.2% v. 10.9%). Overall, treatment-seeking NHs/PIs had higher prevalences than treatment-seeking AAs of mood disorder (62.2% v. 50.2%); adjustment disorder (43.5% v. 22.1%); attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder and disruptive behavior (19.9% v. 11.8%); and impulse-control disorder (12.2% v. 1.7%) diagnoses.
Discussion
AAs and NHs/PIs are frequently reported as a single group in research and health statistics. Findings from pooled AAs/NHs/PIs indicate a low prevalence of alcohol/drug use but analyses that disaggregate NHs/PIs from AAs reveal a particularly high prevalence of substance use among NHs/PIs in the general population and treatment-seeking samples. Nationally, an estimated 11% of NHs/PIs aged ⩾12 years had a history of major depressive episodes (7% among AAs), 33% used tobacco in the past year (18% among AAs), 61% used alcohol in the past year (52% among AAs), and 21% used illicit or non-medical drugs in the past year (7% among AAs) (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c ). Overall, NHs/PIs resemble Whites in drug use prevalence whereas AAs have lower odds than Whites of using drugs (marijuana, opioids, cocaine, hallucinogens, stimulants, sedatives, tranquilizers). Thus, health statistics from pooled AAs/NHs/PIs may underestimate intervention needs for NHs/PIs.
Compared with AAs, NHs/PIs on average are younger, less educated and less likely to be foreign-born; have lower family incomes; and have greater behavioral risk indicators. Such characteristics, including younger age, US-born, less education, low family income, and behavioral risk indicators (depression, delinquency, suicidal behaviors), are all associated with substance use (SAMHSA, 2010a ; Lowry et al. Reference Lowry, Eaton, Brener and Kann2011; Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c , Reference Wu, Brady, Mannelli, Killeen and ;2014). These differences may account partly for some differences in substance use prevalences between NHs/PIs and AAs. Available data, although descriptive, demonstrate that NHs/PIs are a vulnerable population that requires research efforts to discern risk and protective factors of substance use and to develop culturally appropriate interventions to address substance use (Edwards et al. Reference Edwards, Giroux and Okamoto2010). Adolescents and young adults in addition to low-income NHs/PIs should be included as targets of primary and secondary prevention programs (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c , Reference Wu, Brady, Mannelli, Killeen and ;2014). Marijuana use, accounting for about 89% of all past-year drug use among NHs/PIs, should be the primary focus of drug use intervention (Wu et al. Reference Wu, Brady, Mannelli, Killeen and ;2014).
Across AA subgroups, alcohol use is comparatively prevalent among Korean, Japanese and Chinese Americans whereas drug use is comparatively prevalent among Korean, Japanese and Vietnamese Americans (SAMHSA, 2010a ). Although AAs use fewer substances than NHs/PIs, the burden of substance use problems is growing, especially among Chinese Americans, the largest AA subgroup, as their population size rises rapidly. Alcohol, marijuana and methamphetamines account for most treatment admissions and can be the focus of research and intervention for AAs and NHs/PIs (SAMHSA, 2010b , 2012; Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ).
Nationally, an estimated 4.5% of adult AAs/NHs/PIs had a past-year alcohol use disorder and 1.4% had a past-year drug use disorder (Compton et al. Reference Compton, Thomas, Stinson and Grant2007; Hasin et al. Reference Hasin, Stinson, Ogburn and Grant2007). Among adolescent AAs/NHs/PIs (12–17 years), an estimated 2.1% had a past-year alcohol use disorder and 2.0% had a past-year drug use disorder (Wu et al. Reference Wu, Woody, Yang, Pan and Blazer2011). Males, adolescents and young adults are disproportionally affected by SUDs. More recent data estimate that 0.8% of AAs (⩾12 years) and 1.3% of NHs/PIs nationally have a past-year marijuana use disorder and that AAs have a lower prevalence than the national average prevalence (1.7%) (Wu et al. Reference Wu, Brady, Mannelli, Killeen and ;2014). However, research is needed to provide more reliable estimates of alcohol and drug use disorders specifically for AAs and NHs/PIs.
Although reliable estimates of SUD treatment use among AAs and NHs/PIs are lacking, AAs/NHs/PIs as a group considerably underutilize treatment (Wu et al. Reference Wu, Ringwalt and Williams2003), especially treatment for alcohol problems (SAMHSA, 2013). An estimated 91% of adult AAs/NHs/PIs in a national sample with a lifetime alcohol use disorder had never used an alcohol abuse treatment service (Cohen et al. Reference Cohen, Feinn, Arias and Kranzler2007). Among AAs/NHs/PIs (⩾12 years) with a need for alcohol abuse treatment in the past year, only 3.7% received treatment at a specialty (addiction, mental health) setting in the past year; among AAs/NHs/PIs with a need for drug use treatment, just 10.9% received drug abuse treatment at a specialty setting (SAMHSA, 2013). Because prevalence estimates are defined to include any service use (specialty plus non-specialty settings, non-medical human services, self-help groups) and treatment often requires multiple visits, the gap of unmet needs for treatment is much greater than the estimates. The low prevalence of treatment use is related to a low rate (2%) of perceived need for treatment by AAs/NHs/PIs with substance problems (SAMHSA, 2013).
Additionally, denial, stigma, cost of treatment, lack of knowledge about treatment, language barriers, and cultural attitudes to behavioral health may contribute to low rate of treatment use (Wu & Ringwalt, Reference Wu and Ringwalt2004; Wu et al. Reference Wu, Pilowsky, Schlenger and Hasin2007; Smith et al. Reference Smith, Dawson, Goldstein and Grant2010; Hedden & Gfroerer, Reference Hedden and Gfroerer2011). AAs may experience a particularly high level of unmet need for SUD care because culture-relate beliefs about occurrences of behavioral and mental illnesses (‘Karma’) and family-related stigma associated with such conditions (e.g. embarrassment, fear of destroying a family reputation) may delay help-seeking and interfere with engagement in treatment (Li & Seidman, Reference Li and Seidman2010). Cost concerns (lacking insurance coverage), inadequate English language proficiency and a lack of knowledge about SUD treatment options (which are developed from the western culture) may also impede treatment use (Yu et al. Reference Yu, Clark, Chandra, Dias and Lai2009). AAs may delay entering into treatment until substance use impairs daily functioning or causes legal consequences. Treatment use data suggest that AAs tend to use SUD treatment through the criminal justice system (SAMHSA, 2010b ; Yu et al. Reference Yu, Warner, Haverly and Lambert-Wacey2014). AAs and NHs/PIs may benefit from targeted educational interventions that increase their knowledge about the symptoms of SUDs, multiple consequences and the availability of treatment services.
Personality disorder (10.1%) is the most prevalent DSM-IV disorder among adult AAs/NHs/PIs (⩾18 years) identified by survey data (NESARC), followed by lifetime mood (7.4%), anxiety (6.9%), alcohol (4.5%) and drug use (1.4%) disorders (Huang et al. Reference Huang, Grant, Dawson, Stinson, Chou, Saha, Goldstein, Smith, Ruan and Pickering2006). US-born AAs (⩾18 years) have a higher lifetime prevalence than foreign-born AAs (⩾18 years) of mood (16.6% v. 11.8%), anxiety (17.8% v. 9.1%), alcohol (24.5% v. 7.3%) and drug use (8.3% v. 2.3%) disorders (Breslau & Chang, Reference Breslau and Chang2006). Half of AAs (⩾18 years) with a lifetime alcohol or drug use disorder in a national sample had a lifetime mood (41.0%) or anxiety (35.3%) disorder (Mericle et al. Reference Mericle, Ta Park, Holck and Arria2012). Co-morbid patterns among AAs with an SUD are generally similar to those of Whites, Blacks and Hispanics with an SUD but such survey data for NHs/PIs are lacking. Survey findings are generally limited to descriptive lifetime prevalences, which are inadequate for estimating intervention needs for recent disorders specifically related to AAs and NHs/PIs.
Mood disorder seems to be the most common DSM-IV diagnosis contributing to use of psychiatric care by AAs and NHs/PIs (Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ). Among AAs and NHs/PIs with or without an SUD (aged ⩾12 years), the majority of AAs (50–55%) and NHs/PIs (64–74%) had a mood disorder documented in an electronic behavioral health record database (Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ). Treatment-seeking data are consistent with survey findings, showing that NHs/PIs have a higher prevalence of SUDs than AAs and that personality diagnosis is associated with SUD among AAs and NHs/PIs. Moreover, treatment-seeking NHs/PIs have more DSM-IV diagnoses than treatment-seeking AAs (mood disorder; adjustment disorder; attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder, and disruptive behavior; impulse-control disorder), suggesting worse mental health profiles among NHs/PIs than AAs (Lowry et al. Reference Lowry, Eaton, Brener and Kann2011; Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ).
Future directions
There is a clear need for proper categorization of AAs and NHs/PIs. The pooled AA and NH/PI group is sometimes described as ‘Asian’ in research reports. Use of ‘Asian’ to encompass AAs and NHs/PIs may misinform research and policy, and should be avoided.
The small sample size of AAs and NHs/PIs in typical surveys makes it challenging to have an adequate sample for an in-depth analysis of health status. There is a need for policy support to invest funding in expanding the groups' sample sizes in research projects. One approach is to oversample AAs and NHs/PIs in a given national sample to obtain a sufficiently large sample for estimating substance use indicators for subgroups of AAs and NHs/PIs.
AAs and NHs/PIs are diverse in their cultures and ethnic groups. To design effective intervention programs, research is needed to elucidate substance use behaviors and attitudes regarding treatment among specific ethnic groups (Iwamoto et al. Reference Iwamoto, Takamatsu and Castellanos2012). This can be achieved by focusing on a particular geographic region with a high proportion of AAs (or NHs/PIs) to produce in-depth empirical data from an adequate sample while containing research costs. For example, research efforts can start with large subgroups of AAs, such as Chinese, Filipinos, Asian Indians, Vietnamese, Koreans, and Japanese Americans.
Adolescence and young adulthood are the most reliable correlates of recent substance use whereas other demographics are inconsistent correlates. Additionally, behavioral health problems (use of other substances, delinquency, depression) are closely associated with substance use among AAs and NHs/PIs. This emphasizes the need for prevention programs to start early and target all racial/ethnic groups. AAs and NHs/PIs are vastly under-represented in substance use prevention research (Rehuher et al. Reference Rehuher, Hiramatsu and Helm2008). There is a need for research to evaluate the effects of universal and secondary prevention programs (school- and family-based programs) for AAs and NHs/PIs.
Cultural factors that may be unique and that function as risk or protective factors for substance use deserve research (Okamoto et al. Reference Okamoto, Helm, Po'a-Kekuawela, Chin and Nebre2009). Acculturation (changes in an individual's original cultural patterns as a result of continuous or direct contact with individuals of a different culture) is associated with increased odds of SUD and mental disorders whereas factors related to enculturation (the degree to which an individual endorses values indigenous to their native culture, or ethnic identity measures) are associated with decreased odds of having a mental disorder (Redfield et al. Reference Redfield, Linton and Herskovits1936; Blanco et al. Reference Blanco, Morcillo, Alegría, Dedios, Fernández-Navarro, Regincos and Wang2013; Burnett-Zeigler et al. Reference Burnett-Zeigler, Bohnert and Ilgen2013). It is important to study how preservation and promotion of one's own cultural values, such as participating in racial/ethnic activities and behaviors, and developing a sense of cultural pride, belonging and attachment to one's racial/ethnic group and identity, protect against substance use and psychopathology (Kim & Omizo, Reference Kim and Omizo2010; Blanco et al. Reference Blanco, Morcillo, Alegría, Dedios, Fernández-Navarro, Regincos and Wang2013; Burnett-Zeigler et al. Reference Burnett-Zeigler, Bohnert and Ilgen2013).
Individuals of multiple races (mixed-race) are a rising population (US Census Bureau, 2011). Mixed-race persons have higher odds than whites and AAs for past-year drug use, are similar to NHs/PIs in drug use, and have the highest prevalence of lifetime major depressive episodes (18.2%) (Wu et al. Reference Wu, Blazer, Swartz, Burchett, Brady and ;2013b ,Reference Wu, Swartz, Burchett, Workgroup and Blazer c ). Clinically, mixed-race persons and NHs/PIs also have higher prevalences of SUD and other mental disorders than AAs (Wu et al. Reference Wu, Blazer, Gersing, Burchett, Swartz, Mannelli and ;2013a ). Mixed-race persons on average have lower household income and are younger than the White and AA populations. Research is needed to increase the accuracy of classifying multiple-race status, and for analysis of and reporting about this population. Although little is known about mixed-race persons' risk factors for substance use, research could explore how socio-economic status interacts with acculturation and enculturation factors and contributes to substance use and mental health conditions.
AAs/NHs/PIs with substance problems are unlikely to enter treatment unless treatment is triggered by the involvement with the criminal justice system (SAMHSA, 2010b , 2013; Masson et al. Reference Masson, Shopshire, Sen, Hoffman, Hengl, Bartolome, McCarty, Sorensen and Iguchi2013). It seems that only a subset of severe or problematic illicit drug users (e.g. men, young adults, the less educated) use treatment. Individuals with primary alcohol problems and those with internalizing mental disorders (e.g. women, older adults, the educated) may particularly underuse treatment. Besides culture-related stigma, research needs to explore multiple levels of barriers and facilitators to treatment (e.g. language inefficiency, immigration status, preference for treatment mode, and support by providers, peers and family) (Griner & Smith, Reference Griner and Smith2006; Fong & Tsuang, Reference Fong and Tsuang2007; Yu et al. Reference Yu, Clark, Chandra, Dias and Lai2009; Cabral & Smith, Reference Cabral and Smith2011; Masson et al. Reference Masson, Shopshire, Sen, Hoffman, Hengl, Bartolome, McCarty, Sorensen and Iguchi2013).
The low usage rate of substance abuse treatment emphasizes the need for incorporating screening of substance use, brief intervention and referral to treatment (SBIRT) programs into primary care to increase early detection and recognition of substance use status, along with timely interventions for substance-related problems (Moyer, Reference Moyer VA2013; Pilowsky & Wu, Reference Pilowsky and Wu2013; Salvalaggio et al. Reference Salvalaggio, Dong, Vandenberghe, Kirkland, Mramor, Brown, Taylor, McKim, Cummings and Wild2013). The Affordable Care Act (ACA) has expanded access to mental and substance abuse services (i.e. essential health benefits) to millions of Americans (Beronio et al. Reference Beronio, Po, Skopec and Glied2013). An estimated eight in 10 (1.6 million) of eligible uninsured AAs/NHs/PIs may qualify either for tax credits to purchase coverage in the Health Insurance Marketplace or for Medicaid or the Children's Health Insurance Program (CHIP) (Wendt et al. Reference Wendt, Wilson-Frederick, Wu and Gee2014). Community outreach can help uninsured individuals learn about the new health insurance coverage. There is also a need to increase the number of trained bilingual staff and health-care providers with the language or cultural skills to support outreach and enrollment efforts, or to provide integrated treatment (SAMHSA, 2014).
Conclusions
AAs and NHs/PIs differ in aspects of culture, language, immigration status, key socio-economic characteristics, substance use and mental health status. Research reports have traditionally combined both into one group, which provides inadequate information for informing health policy. NHs/PIs are a small but growing population that faces significant health disparities in multiple indicators. NHs/PIs have been overlooked and understudied in the substance and mental health literature. As shown in the Healthy People 2010 Final Review report (National Center for Health Statistics, 2012), NHs/PIs and AAs have the least reliable research data available to evaluate their health status. Their growing population size requires research efforts to produce needed substance use and disorder data that can be used to inform interventions and clinical trials and establish evidenced-based therapies for these ethnically and culturally diverse US populations. Such efforts are necessary for informing the Healthy People 2020 health objectives.
Acknowledgments
Dr L.-T. Wu is a committee member of the National Institute on Drug Abuse Asian American and Pacific Islander Researchers and Scholars Workgroup (NIDA AAPI Workgroup), Special Populations Office, National Institute on Drug Abuse, Bethesda, MD, USA. We thank the NIDA Special Populations Office and the NIDA AAPI Workgroup. We thank P. Hoffmann of the Duke Clinical Research Institute for assistance with manuscript preparation.
This work was made possible by research support from the US NIDA and the National Institute on Minority Health and Health Disparities of the National Institutes of Health (R01MD007658, HHSN271200900499P, API-AS.NET2013-01, API-AS.NET2013-02, R01DA019623, R01DA019901 and R33DA027503 to L.-T. Wu), the JP Gibbons Professorship, and the Duke University Department of Psychiatry and Behavioral Sciences.
Declaration of Interest
None.
Open access
