Abstract
Inhalant use is a serious global problem with consequences equal to or surpassing those of other drugs, Regrettably, few prior studies have examined inhalant users’ patterns of service and treatment utilization, The purpose of this study is to identity factors associated with service use and barriers to treatment among a nationally representative sample of inhalant users. Data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) reveal that among inhalant users problem severity and substance use disorder comorbidity were associated with substance abuse treatment barriers and service usage. These findings can help improve the service delivery system to provide effective treatments and reduce the risk of emergency department usage, which is among the most expensive and least effective ways to deal with substance abuse.
Keywords: inhalant misuse, service utilization, treatment barriers, substance abuse treatment
Inhalant use refers to the intentional inhalation of chemical vapors for the purpose of producing psychoactive effects. Results from national surveys show they are among the most widely used of all psychoactive substances. For example, results from the 2006 Monitoring the Future Survey indicated that approximately 16.1 % of eighth graders reported lifetime use of inhalants, a figure that was higher than that for marijuana (15.7%) and cocaine (3.4%) use (Johnston et al 2007). Inhalant use is a serious problem, as the consequences of such use can rival or exceed the consequences of other drug use (Esmail et al 1992).
Recent research has identified factors associated with inhalant use among adolescents and adults (Perron & Howard 2009; Wu & Howard 2007). These studies, as well as those related to improving the diagnosis of inhalant abuse and dependence (Perron et al 2010, 2009a), are needed to help inform the development of empirically-supported prevention and treatment programs. However, the development of such programs is not possible without a greater understanding of the service use patterns among this at-risk population. While a recent report showed that inhalant dependence was significantly associated with odds of emergency department service use (second only to heroin dependence), the broader patterns and correlates of service utilization among inhalant users are virtually unknown (Perron et al In press).
The purpose of this study is to identify factors associated with service use and perceived barrier to treatment among a nationally representative sample of inhalant users. This is the first analysis to document this information, which can be used to more effectively and efficiently plan, develop and target services for this at-risk population.
METHODS
The present analysis used data from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), which is a nationally representative survey of 43,093 noninstitutionalized U.S. residents aged 18 years and older (Grant et al. 2004a, b). The NESARC was based on a multistage sampling design that oversampled young adults, Hispanics, and African-Americans to obtain reliable statistical estimation in these subpopulations and to ensure appropriate representation of racial/ethnic groups.
In the administration of this survey, U.S. Census Bureau workers, trained by National Institute on Alcohol Abuse and Alcoholism (NIAAA) staff, administered the Alcohol Use Disorders and Associated Disabilities Interview Schedule—DSM-IV version (AUDADIS-IV). AUDADIS-IV is a structured interview designed for administration by trained lay interviewers. AUDADIS-IV assesses 10 DSM-IV substance use disorders and evidences good-to-excellent reliability for the assessment of substance use disorders (Grant et al. 2003, 1995). The NESARC survey, sampling protocol, and related publications are described in detail in prior studies (Stinson et al 2008; Grant et al. 2003, 1995).
Measurement
Inhalant use
This study included all survey respondents who reported using inhalants at any time in their lives, DSM-IV criteria were used to classify subjects based on whether they met lifetime criteria for inhalant abuse (without dependence) or dependence (with or without abuse). Thus, study respondents fell into one of three mutually exclusive categories; inhalant dependent, inhalant abusers, or inhalant users without abuse or dependence.
Substance use disorders
Participants were classified as having a lifetime alcohol use disorder if they met lifetime DSM-IV criteria for abuse of or dependence on alcohol. Participants were classified as having a lifetime other substance use disorder (that is, a substance use disorder other than an inhalant use disorder or alcohol use disorder) if they met lifetime DSM-IV criteria for abuse or dependence for marijuana, cocaine or crack, tranquilizers, stimulants, painkillers, other prescription drugs, hallucinogens, and sedatives.
Sociodemographic variables
Several sociodemographic variables were assessed in this study: racial/ethnic groups including Caucasians (non-Hispanic), African Americans, and Hispanics; urbanicity (urban or rural): gender (male, female); marital status (married, separated, never married); personal income (in dollars per year); and age (in years).
Service utilization
Participants were asked to reply “yes” or “no” to the questions: “Have you ever gone anywhere or seen anyone for a reason that was related in any way to your use of medicines or drugs — a physician, counselor, Narcotics Anonymous, or any other community agency or professional?” “Did you ever in your life talk to a medical doctor or other professional about your use of drugs?” This question was directed towards service utilization that resulted from the use of any substance, not necessarily inhalant use. Participants who endorsed this question affirmatively were then asked whether they used each of 14 different substance abuse-related services, such as 12-Step meetings, private practitioner, drug rehabilitation, and drug detoxification (see Appendix 1 for complete listing of services).
Drug treatment barriers
Participants were asked: “Was there ever a time when you thought you should see a doctor, counselor, or other health professional or seek any other help for your drug use, but you didn’t go?” Participants who endorsed this question were then asked whether they were impeded from going to treatment for any of 27 possible barriers to getting help, such as “I didn’t think treatment would help,” “I could not afford it,” or “I didn’t know where to go for help” (see Appendix 1 for complete listing).
Analysis
Analyses were computed using SUDAAN Version 9.0 (SAS Institute 2004). This system implements a Taylor series linearization to adjust standard errors of estimates for complex survey sampling design effects including clustered data. Chi-square tests were used to make bivariate comparisons between each categorical variable and dichotomous outcomes: (1) presence/absence of service utilization and (2) presence/absence of barriers to treatment. Multivariable logistic regression analyses were used to examine service utilization and barriers to treatment while adjusting for sociodemographic and other clinical variables. Full models with all independent variables were examined first, followed by trimmed models of only key variables for purposes of parsimony.
RESULTS
Overall Sample Characteristics
Within the NESARC sample, 664 persons reported having used inhalants at any point during their lives. Characteristics of this sample of inhalant users are presented in Table 1. The sample was predominately White (82.2%), aged 18 to 34 (50.7%), and male (74.2%). Over half of the sample reported living in a rural area (64.4%). Regarding clinical characteristics, 19.5% of the total sample met criteria for DSM-IV inhalant use disorder (abuse or dependence), 78.7% met lifetime DSM-IV criteria for another substance use disorder, and 83.5% reported a lifetime alcohol use disorder.
TABLE 1.
Summary Characteristics of Inhalant Users and Percentages Reporting Service Use or Barriers
| Variable | Overall (N= 664) % (SE) |
Service Utilization % (SE) |
Services χ2 |
Service Barriers % (SE) |
Barriers χ2 |
|---|---|---|---|---|---|
| Race | |||||
| White | 82.2 (1.74) | 23.6 (2.23) | 13.9 (1.61) | ||
| Black | 3.8 (0.73) | 30.2 (8.58) | 0.35 | 18.9 (6.80) | 0.98 |
| Hispanic | 13.9 (1.71) | 25.3 (5.45) | 20.3 (4.57) | ||
| Urbanicity | |||||
| Urban | 35.6 (2.86) | 22.6 (3.04) | 0.29 | 13.4 (2.27) | 0.64 |
| Rural | 64.4 (2.86) | 24.9 (2.84) | 15.9 (1.98) | ||
| Gender | |||||
| Male | 74.2 (2.02) | 24.8 (2.35) | 0.38 | 15.3 (1.74) | 0.09 |
| Female | 25.8 (2.02) | 22.2 (3.62) | 14.2 (3.17) | ||
| Marital Status | |||||
| Married | 43.7 (2.30) | 22.9 (2.72) | 13.9 (2.38) | ||
| Separated/Divorced | 17.4 (1.73) | 27.7 (4.58) | 0.41 | 20.2 (3.94) | 0.96 |
| Never Married | 38.9 (2.26) | 23.9 (3.74) | 14.0 (2.57) | ||
| Personal Income1 | |||||
| $0 to $19,999 | 28.4 (2.21) | 37.2 (4.83) | 22.8 (3.63) | ||
| $20,000 to $34,999 | 18.9 (1.64) | 19.5 (3.58) | 3.54* | 11.9 (2.87) | 2.30 |
| $35,000 to $69,999 | 31.8 (2.15) | 19.6 (3.09) | 12.5 (2.55) | ||
| $70,000 and Over | 20.9 (2.01) | 17.4 (3.74) | 11.2 (3.01) | ||
| Age | |||||
| 18 to 34 | 50.7 (2.25) | 22.9 (3.13) | 13.3 (2.31) | ||
| 35 to 54 | 45.1 (2.24) | 25.9 (2.81) | 0.58 | 17.9 (2.14) | 3.67* |
| 55 and over | 4.2 (0.80) | 19.0 (6.67) | 5.4 (2.91) | ||
| Lifetime Inhalant Grouping | |||||
| No Disorder | 80.6 (1.96) | 19.8 (2.29) | 12.7 (1.53) | ||
| Abuse | 17.2 (1.85) | 38.7 (5.04) | 7.28** | 22.8 (4.42) | 3.96* |
| Dependence | 2.3 (0.69) | 66.2 (16.29) | 41.6 (14.82) | ||
| Lifetime Alcohol Use Disorder | 83.5 (1.66) | 26.1 (2.30) | 7.34** | 16.1 (1.63) | 3.99* |
| Other Lifetime Substance | |||||
| Use Disorder2 | 78.7 (1.86) | 28.9 (2.41) | 28.31** | 18.2 (1.74) | 18.91** |
Note: Overall column values are reported as column percentages. Service utilization and service barriers are presented as row percentages.
Measured in dollars per year.
Noninhalant and non-nicotine drug use disorder.
p < .05,
p < .01
Service Utilization
Of the total sample of inhalant users, 24.1% reported receiving at least one type of substance abuse-related services. As described in Table 1, respondents with an income of less than $20,000 annually reported receiving services more often (37.2%) compared to persons at higher income levels. The majority of persons with inhalant dependence used some form of service (66.2%). This was a substantially higher prevalence of service use compared to those with inhalant abuse (38.7%) or no disorder (19.9%), Having a lifetime alcohol use disorder was also associated with a high prevalence of service use (26.1%), as was having a noninhalant substance use disorder (28.9%).
Table 2 provides a summary of the five most common types of services utilized among persons with a lifetime history of inhalant use. The most common type was a 12-Step program (Narcotics, Alcoholics or Cocaine Anonymous; 68.5%), followed by an alcohol or other drug rehabilitation program (61.2%) and seeing a private physician, psychiatrist, or social worker (55.6%). There were no significant differences observed among levels of inhalant abuse within the five most common services.
TABLE 2.
Service Utilization and Treatment Barriers Most Frequently Endorsed Among Inhalant Users
| Overall % (SE) |
No Inhalant Disorder % (SE) |
Inhalant Abuse % (SE) |
Inhalant Dependence % (SE) |
χ2 | |
|---|---|---|---|---|---|
| Service Utilization | N = 160 | N = 101 | N = 44 | N = 15 | |
| Narcotics/Alcoholics/Cocaine Anonymous | 68.5 (5.06) | 67.5 (6.28) | 67.8 (9.86) | 82.0 (12.42) | 0.50 |
| Drug or Alcohol Rehabilitation Program | 61.2 (4.82) | 57.9 (6.18) | 64.9 (9.23) | 80.2 (12.09) | 1.16 |
| Private Physician/Psychiatrist/Social Worker | 55.6 (4.84) | 55.8 (6.03) | 52.3 (9.51) | 67.5 (16.37) | 0.31 |
| Drug/Alcohol Detox Ward Or Clinic | 52.3 (4.99) | 55.3 (6.17) | 51.5 (8.98) | 45.2(16.10) | 0.11 |
| Outpatient Clinic/Outreach or Day Program | 44.0 (5.15) | 42.9 (6.81) | 42.2 (8.59) | 62.2(17.11) | 0.64 |
| Treatment Barriers | N = 112 | N = 75 | N = 25 | N = 12 | |
| Strong Enough to Handle it Alone | 43.9 (5.53) | 46.6 (7.14) | 37.5 (9.68) | 43.2 (18.76) | 0.27 |
| Thought it Would get Better by Itself | 31.1 (6.07) | 25.3 (7.02) | 44.4 (12.68) | 41.1 (18.75) | 0.95 |
| Too Embarrassed to Discuss with Anyone | 28.8 (5.47) | 28.7 (6.83) | 32.9 (9.41) | 12.5 (9.76) | 0.82 |
| Didn’t Want to Go | 25.8 (5.41) | 25.4 (6.10) | 22.7 (12.79) | 42.2 (18.86) | 0.38 |
| Couldn’t Afford to Pay the Bill | 21.3 (4.84) | 14.8 (5.39) | 38.3 (9.94) | 23.1 (16.76) | 1.86 |
Multivariable logistic regression was used to identify factors associated with any type of lifetime service use among inhalant users while controlling for confounding variables. We assessed a full model, which included all variables in Table 1, as well as a trimmed model that included only race/ethnicity, marital status, income, lifetime drug use disorder status, and lifetime inhalant disorder status. The first model was statistically significant (χ2 = 83.13, p < .01), with a pseudo R-square value of .12. This model showed that persons with an income of $19,000 or less had odds of service utilization 2.72 times greater than those from the highest income group, $70,000 and over (95% CI = 1.26–5.87). Furthermore, persons with inhalant abuse had 1.88 times greater odds of service utilization compared to those without an inhalant use disorder (95% CI = 1.08–3.27). No significant differences were observed between those with dependence and those without an inhalant use disorder. Finally, persons with a lifetime drug use disorder had 5.52 times greater odds of service utilization (95% CI = 1.98–15.44). None of the other independent variables showed statistical significance. These findings were nearly identical to those in a model that excluded other sociodemographic variables; although the effect size of the income variable was slightly diminished (OR = 2.60, 95% CI = 1.22–5.56), the odds associated with service utilization for inhalant use disorder variable remained constant (OR= 1.89, 95% CI= 1.09–3.29), and the lifetime substance use disorder variable was slightly attenuated (OR = 5.71, 95% CI = 1.96–16.58).
Treatment Barriers
Of the total sample of inhalant users, 15% reported at least one barrier to receiving services. As described in Table 1, respondents with an income of less than $20,000 annually reported the highest percentage of barriers to treatment (22.8%) compared to persons at higher income levels, but no significant differences emerged among income groups. Less than half of persons with inhalant dependence reported at least one barrier to treatment (41.6%), following those with inhalant abuse (22.8%) and those with no disorder (] 2.7%). Having a lifetime alcohol use disorder was also associated with a high prevalence of service use (16.1 %), as was having another substance use disorder (18.2%).
Table 2 provides a summary of the most common treatment barriers among persons with a lifetime history of inhalant use. The most common treatment barrier reported was the misguided belief that the individual should be strong enough to handle it alone (43.9%), followed by thinking the problem would get better by itself (31.1%), and feeling too embarrassed to discuss it with anyone (28.8%). There were no significant differences in treatment barriers by inhalant use disorder groups.
Multivariable logistic regression was used to identify factors associated with experiencing a treatment barrier while controlling for confounding variables. We assessed a full model, which included all variables in Table 1, as well as a trimmed model that included only race/ethnicity, marital status, income, lifetime drug use disorder status, and lifetime inhalant disorder status. The first model was statistically significant (χ2 = 45.45, p < .01), with a pseudo R-square value of .07. This model showed that persons with a lifetime other substance use disorder had odds of encountering a barrier to treatment that was 5.27 times greater than those without (95% CI = 1.14–24.30). None of the other independent variables achieved statistical significance. The findings were nearly identical in the trimmed model, although the effect size of the lifetime other drug use disorder variable changed slightly (OR = 5.58, 95% CI = 1.20–25.97).
DISCUSSION
This is the first study to present findings concerning treatment utilization and barriers to care among a nationally representative sample of service users. These data are needed to provide information necessary for developing services and structuring treatment. As prior studies have revealed, inhalant users have a high level of substance and psychiatric use comorbidities (Perron et al. 2009a; Wu & Howard 2007), which underscores the importance of understanding their patterns of service use given the severity of their substance use. This can help improve the service system that will provide effective treatments and reduce the risk of emergency department usage (Perron et al. 2009a), which is among the most expensive and least effective forms of substance abuse intervention.
As expected, this study found that persons who met DSM-IV criteria for inhalant dependence had the highest levels of service use and barriers to treatment. However, it is notable that a significant number of persons with less severe involvement with inhalants—that is, those classified as having abuse or not meeting criteria for a disorder—were also frequent service users. The patterns of service use for inhalant users were remarkably similar to the most frequently used services among persons seeking services for other drug-related problems (Perron et al. 2009b). This could be explained by the fact that the NESARC survey instrument did not query individuals about service use related to specific drug use. Thus, it may be other substance use among inhalant users that explains these patterns of service use, which is an important issue that future research needs to clarify.
Other than a lifetime history of another drug use disorder no other factors emerged as correlates of service use or barriers to treatment among inhalant users in the multivariable models. A likely possibility is the heterogeneity that is involved with inhalant use. More specifically, it is important to consider that inhalants are the only substance classified by their mode of administration rather than chemical composition (Perron et al. 2009a). Thus, there may be subtypes of inhalant users that are seeking or experiencing different types of mechanisms of inhalant delivery. These different types of mechanisms of inhalant use delivery may be further complicated by complex interactions with different types of other drug use and psychiatric comorbidities.
Despite the measurement limitations of this survey, these results represent an important first step in understanding services-related issues among inhalant users and are suggestive of implications for practice. Most notably, because inhalant users most frequently use 12-Step related services compared to all other types of services, a combination of treatment and 12-Step participation may be more helpful for this population. Sensitivity to the use of inhalants is particularly needed within the medical and substance abuse treatment community to help reduce the stigma associated with inhalants, as this was also found to be a frequent barrier to treatment among inhalant users who sought but did not receive services. Finally, professional service providers should pay greater attention to assessing for inhalant use, as inhalant users may present for services in all major forms of substance use disorder treatment.
TABLE 3.
Multivariable Logistic Regression Results Predicting Service Use and Treatment Barriers Among Lifetime Inhalant Users
| Variable | Service Utilization OR (95% CI) |
Service Barriers OR (95% CI) |
|---|---|---|
| Race | ||
| White | - | - |
| Black | 1.63 (0.65–4.08) | 1.74 (0.75–4.02) |
| Hispanic | 1.02 (0.52–2.01) | 1.66 (0.86–3.20) |
| Urbanicity | ||
| Urban | 0.77 (0.45–1.32) | 0.74 (0.43–1.27) |
| Rural | - | - |
| Gender | ||
| Male | 0.89 (0.51–1.52) | 0.99 (0.49–2.00) |
| Female | - | - |
| Marital Status | ||
| Married | 1.23 (0.67–2.24) | 1.12 (0.57–2.20) |
| Separated/Divorced | 1.19 (0.57–2.49) | 1.40 (0.59–3.29) |
| Never Married | - | - |
| Personal Income1 | ||
| $0 to $19,999 | 2.72 (1.26–5.87) | 2.10 (0.88–4.99) |
| $20,000 to $34,999 | 1.01 (0.47–2.14) | 0.88 (0.37–2.09) |
| $35,000 to $69,999 | 1.12 (0.54–2.32) | 1.14 (0.51–2.55) |
| $70,000 and Over | - | - |
| Age | ||
| 18 to 34 | - | - |
| 35 to 54 | .23 (0.73–2.09) | 1.41 (0.73–2.72) |
| 55 and over | 11.39 (0.40–4.84) | 0.45 (0.12–1.70) |
| Lifetime Inhalant Grouping | ||
| No Disorder | - | - |
| Abuse | 1.88 (1.08–3.27) | 1.47 (0.82–2.66) |
| Dependence | 4.31 (0.64–28.85) | 2.56 (0.54–12.15) |
| Lifetime Alcohol Use Disorder | 1.98 (0.70–5.64) | 1.60 (0.54–4.73) |
| Lifetime Drug Use Disorder2 | 5.52 (1.98–15.44) | 5.27 (1.14–24.30) |
Note: OR = odds ratio. CI = Confidence interval. Items in bold are statistically significant based on an odds ratio that does not bound the value 1.0.
Measured in dollars per year.
Noninhalant, non-alcohol drug use disorder.
APPENDIX 1
Complete Listing of NESARC Service Use and Perceived Treatment Barrier Items
Service Usage
|
Treatment Barriers
|
Footnotes
This research was supported by grants DA027832 (Perron) and AA019575 (Perron) from the U.S. National institutes of Health (NJH). The NIH had no role in the design or conduct of the study, collection, management, analysis and interpretation of the data, or preparation, review or approval of the manuscript.
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