Dual Diagnosis and Alcohol/Nicotine Use Disorders: Native American and White Hospital Patients in 3 States.

INTRODUCTION: Nationally, mental illness prevalence is comparable among Native Americans and Whites experiencing alcohol and nicotine use disorders. However, authors are concerned that mental illness in Native Americans with substance use disorders may be disparately underdiagnosed in medical settings. For 3 states with large Native American populations, this study compares the prevalence of mental illness diagnoses among Native Americans and Whites hospitalized with alcohol/nicotine use disorders. METHODS: In 2021, hospital discharge data were used to compare non-Hispanic Native Americans with non-Hispanic Whites in Arizona and New Mexico (2016-2018) and (regardless of Hispanic ethnicity) Native Americans with Whites in Oklahoma (2016-2017). Differences in any mental illness, mood, and anxiety diagnoses were assessed using multilevel regressions (adjusted for demographics, payor, comorbidities, facility). Adjusted predicted probabilities were constructed. RESULTS: Among alcohol-related discharges, probabilities of non-Hispanic Native Americans and non-Hispanic Whites receiving any mental illness diagnoses in Arizona were 18.0% (95% CI=16.1, 19.9) and 36.8% (95% CI=34.1, 39.5), respectively; in New Mexico, they were 24.5% (95% CI=20.7, 28.3) and 43.4% (95% CI=38.7, 48.1). Oklahoma's probabilities for Native Americans and Whites were 30.7% (95% CI=27.4, 34.0) and 36.8% (95% CI=33.5, 40.2), respectively. Among nicotine-related discharges, any mental illness diagnosis probabilities for non-Hispanic Native Americans and non-Hispanic Whites in Arizona were 21.2% (95% CI=18.9, 23.5) and 33.1% (95% CI=30.3, 35.9), respectively; in New Mexico, they were 25.9% (95% CI=22.7, 29.1) and 37.4% (95% CI=33.8, 40.9). Oklahoma's probabilities for Native Americans and Whites were 27.3% (95% CI=25.1, 29.6) and 30.2% (95% CI=28.0, 32.4), respectively. Mood and anxiety diagnoses were also significantly lower for non-Hispanic Native Americans in Arizona/New Mexico and Native Americans in Oklahoma. CONCLUSIONS: Findings suggest disparate underdiagnosis of mental illness among Native Americans hospitalized with alcohol/nicotine use disorders in the examined states.

With socioeconomic status controlled, cigarette use is lower among American Indians/Alaska Natives than whites.

BACKGROUND: Higher crude prevalence of cigarette use among American Indians/Alaska Natives (AI/AN) than non-Hispanic whites (NHW) has helped engender an assumption that race/ethnicity explains the difference. This study examines whether being AI/AN versus NHW predicts greater use when socioeconomic status and demographics are controlled. METHODS: Data came from the National Survey on Drug Use and Health (2013-2017). Using logistic regressions with socioeconomic (income, education) and demographic (gender, age, marital status) controls, differences between AI/AN (n = 4,305) and NHW (n = 166,348) regarding heavier cigarette use (past month daily use, past month use of 300+ cigarettes, and nicotine dependence) and current cigarette use (past month use plus 100+ cigarettes in lifetime) were assessed. Adjusted predicted probabilities were also constructed. RESULTS: NHW, compared to AI/AN, had greater odds of daily use: adjusted odds ratio (AOR) = 1.23 (95% CI: 1.03-1.49); predicted probabilities-15.3% and 13.0%, respectively. NHW had greater odds of using 300+ cigarettes: AOR = 1.47 (CI: 1.19-1.83); predicted probabilities-13.6% and 9.9%. NHW had greater odds of being nicotine dependent: AOR = 1.57 (CI: 1.31-1.89); predicted probabilities-10.3% and 7.1%. A difference in current use was not found. As controls, income and education were especially impactful. CONCLUSIONS: With controls, particularly for socioeconomic status, heavier cigarette use was lower among AI/AN than NHW, and a current cigarette use difference was not indicated. This contradicts the idea that being AI/AN versus NHW independently predicts greater cigarette use, and it underscores the importance of socioeconomic status for understanding cigarette use among AI/AN.

Cigarette Use Among American Indians and Alaska Natives in Metropolitan Areas, Rural Areas, and Tribal Lands.

CONTEXT: Cigarette use among the US general population is significantly lower in metropolitan areas than in rural areas. OBJECTIVE: To assess whether cigarette use among American Indians and Alaska Natives (AI/AN) is lower in metropolitan areas than in rural areas and tribal lands (which are predominantly rural). DESIGN: Data came from the National Survey on Drug Use and Health (2012-2016). Regressions with adjustments for demographics were performed to assess whether cigarette use differed in association with type of place. SETTINGS: The AI/AN in tribal lands (n = 1569), nontribal large metropolitan (1+ million people) areas (n = 582), nontribal small metropolitan (<1 million) areas (n = 1035), and nontribal rural areas (n = 1043). MAIN OUTCOME MEASURES: Cigarette abstinence, current smoking, daily use, number of cigarettes used, and days of use-all in the past month. Nicotine dependence was also examined. RESULTS: Metropolitan (large or small) areas versus rural areas: no statistically significant differences in cigarette use were found. Metropolitan (large or small) areas versus tribal lands: days of cigarette use and daily use were significantly lower in tribal lands. Tribal lands were also lower than small metropolitan areas regarding number of cigarettes used and nicotine dependence. Rural areas versus tribal lands: cigarette measures were consistently lower in tribal lands. For example, the prevalence of current smokers, daily users and nicotine dependence, respectively, was 37.9%, 25.9%, and 16.3% in rural areas and 27.4%, 13.6%, and 8.9% in tribal lands. CONCLUSIONS: Differences in cigarette use between AI/AN in nontribal rural and metropolitan areas were not indicated. Instead, the place differences found were lower cigarette use in tribal lands than in nontribal rural areas and, to some extent, metropolitan areas. These findings can help inform policy makers working to develop context-sensitive anticommercial tobacco efforts for AI/AN.

Impacts of Canada's minimum age for tobacco sales (MATS) laws on youth smoking behaviour, 2000-2014.

BACKGROUND: Recently, the US Institute of Medicine has proposed that raising the minimum age for tobacco purchasing/sales to 21 years would likely lead to reductions in smoking behavior among young people. Surprisingly few studies, however, have assessed the potential impacts of minimum-age tobacco restrictions on youth smoking. OBJECTIVE: To estimate the impacts of Canadian minimum age for tobacco sales (MATS) laws on youth smoking behaviour. DESIGN: A regression-discontinuity design, using seven merged cycles of the Canadian Community Health Survey, 2000-2014. PARTICIPANTS: Survey respondents aged 14-22 years (n=98 320). EXPOSURE: Current Canadian MATS laws are 18 years in Alberta, Saskatchewan, Manitoba, Quebec, the Yukon and Northwest Territories, and 19 years of age in the rest of the country. MAIN OUTCOMES: Current, occasional and daily smoking status; smoking frequency and intensity; and average monthly cigarette consumption. RESULTS: In comparison to age groups slightly younger than the MATS, those just older had significant and abrupt increases immediately after the MATS in the prevalence of current smokers (absolute increase: 2.71%; 95% CI 0.70% to 4.80%; P=0.009) and daily smokers (absolute increase: 2.43%; 95% CI 0.74% to 4.12%; P=0.005). Average past-month cigarette consumption within age groups increased immediately following the MATS by 18% (95% CI 3% to 39%; P=0.02). There was no evidence of significant increases in smoking intensity for daily or occasional smokers after release from MATS restrictions. CONCLUSION: The study provides relevant evidence supporting the effectiveness of Canadian MATS laws for limiting smoking among tobacco-restricted youth.

Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers.

Women face particular challenges when quitting smoking, especially those with weight concerns. A multi-behavioral smoking cessation intervention addressing these concerns and incorporating guided imagery may assist women to engage in healthy lifestyle behaviors. An mHealth app can easily disseminate such an intervention. The goals of this pilot study were to develop and test the feasibility and potential of the See Me Smoke-Free™ mHealth app to address smoking, diet, and physical activity among women smokers. We used pragmatic, direct-to-consumer methods to develop and test program content, functionality, and the user interface and conduct a pre-/post-test, 90-day pilot study. We enrolled 151 participants. Attrition was 52%, leaving 73 participants. At 90 days, 47% of participants reported 7-day abstinence and significant increases in physical activity and fruit consumption. Recruitment methods worked well, but similar to other mHealth studies, we experienced high attrition. This study suggests that a guided imagery mHealth app has the potential to address multiple behaviors. Future research should consider different methods to improve retention and assess efficacy.

Lessons learned in the development and evaluation of RxCoach™, an mHealth app to increase tobacco cessation medication adherence.

OBJECTIVE: In this project we developed and evaluated a mobile health app to improve adherence to tobacco cessation medication. METHODS: The study was conducted in three phases: (1) Create app with input from our consultant, focus groups and user testing; (2) Test feasibility of the app; and (3) Develop and user-test the barcode scanner. RESULTS: Focus group feedback was instrumental in developing content and creating the user interface. User testing helped to identify problems and refine the app. The feasibility trial provided "real world" testing. We experienced challenges in recruitment due to the inclusion criteria. We had high attrition due to technical issues, medication side effects, enrollment procedures, and lack of personal contact. Among the five retained participants, use of the app was associated with good medication adherence and high consumer satisfaction. CONCLUSION: The small sample size limits the generalizability of the findings and the conclusions that can be drawn from the study. However, the feasibility trial enabled the team to identify ways to improve the conduct of this and other mHealth studies. PRACTICAL IMPLICATIONS: We should expand RxCoach to include all prescription and over-the-counter tobacco cessation medications, and re-test for feasibility using lessons learned to improve recruitment and retention.

Essential/precursor chemicals and drug consumption: impacts of US sodium permanganate and Mexico pseudoephedrine controls on the numbers of US cocaine and methamphetamine users.

BACKGROUND AND AIMS: In December 2006 the United States regulated sodium permanganate, a cocaine essential chemical. In March 2007 Mexico, the United States' primary source for methamphetamine, closed a chemical company accused of illicitly importing 60+ tons of pseudoephedrine, a methamphetamine precursor chemical. US cocaine availability and methamphetamine availability, respectively, decreased in association. This study tested whether the controls had impacts upon the numbers of US cocaine users and methamphetamine users. DESIGN: Auto-regressive integrated moving average (ARIMA) intervention time-series analysis. Comparison series-heroin and marijuana users-were used. SETTING: United States, 2002-14. PARTICIPANTS: The National Survey on Drug Use and Health (n = 723 283), a complex sample survey of the US civilian, non-institutionalized population. MEASUREMENTS: Estimates of the numbers of (1) past-year users and (2) past-month users were constructed for each calendar quarter from 2002 to 2014, providing each series with 52 time-periods. FINDINGS: Downward shifts in cocaine users started at the time of the cocaine regulation. Past-year and past-month cocaine users series levels decreased by approximately 1 946 271 (-32%) (P < 0.05) and 694 770 (-29%) (P < 0.01), respectively-no apparent recovery occurred through 2014. Downward shifts in methamphetamine users started at the time of the chemical company closure. Past-year and past-month methamphetamine series levels decreased by 494 440 (-35%) [P < 0.01; 95% confidence interval (CI) = -771 897, -216 982] and 277 380 (-45%) (P < 0.05; CI = -554 073, -686), respectively-partial recovery possibly occurred in 2013. The comparison series changed little at the intervention times. CONCLUSIONS: Essential/precursor chemical controls in the United States (2006) and Mexico (2007) were associated with large, extended (7+ years) reductions in cocaine users and methamphetamine users in the United States.

See Me Smoke-Free: Protocol for a Research Study to Develop and Test the Feasibility of an mHealth App for Women to Address Smoking, Diet, and Physical Activity.

BACKGROUND: This paper presents the protocol for an ongoing research study to develop and test the feasibility of a multi-behavioral mHealth app. Approximately 27 million women smoke in the US, and more than 180,000 women die of illnesses linked to smoking annually. Women report greater difficulties quitting smoking. Concerns about weight gain, negative body image, and low self-efficacy may be key factors affecting smoking cessation among women. Recent studies suggest that a multi-behavioral approach, including diet and physical activity, may be more effective at helping women quit. Guided imagery has been successfully used to address body image concerns and self-efficacy in our 3 target behaviors-exercise, diet and smoking cessation. However, it has not been used simultaneously for smoking, diet, and exercise behavior in a single intervention. While imagery is an effective therapeutic tool for behavior change, the mode of delivery has generally been in person, which limits reach. mHealth apps delivered via smart phones offer a unique channel through which to distribute imagery-based interventions. OBJECTIVE: The objective of our study is to evaluate the feasibility of an mHealth app for women designed to simultaneously address smoking, diet, and physical activity behaviors. The objectives are supported by three specific aims: (1) develop guided imagery content, user interface, and resources to reduce weight concern, and increase body image and self-efficacy for behavior change among women smokers, (2) program a prototype of the app that contains all the necessary elements of text, graphics, multimedia and interactive features, and (3) evaluate the feasibility, acceptability, and preliminary efficacy of the app with women smokers. METHODS: We created the program content and designed the prototype application for use on the Android platform in collaboration with 9 participants in multiple focus groups and in-depth interviews. We programmed and tested the application's usability with 6 participants in preparation for an open, pre- and posttest trial. Currently, we are testing the feasibility and acceptability of the application, evaluating the relationship of program use to tobacco cessation, dietary behaviors, and physical activity, and assessing consumer satisfaction with approximately 70 women smokers with Android-based smart phones. RESULTS: The study was started January 1, 2014. The app was launched and feasibility testing began in April 1, 2015. Participants were enrolled from April 1-June 30, 2015. During that time, the app was downloaded over 350 times using no paid advertising. Participants were required to use the app "most days" for 30 days or they would be dropped from the study. We enrolled 151 participants. Of those, 78 were dropped or withdrew from the study, leaving 73 participants. We have completed the 30-day assessment, with a 92% response rate. The 90-day assessment is ongoing. During the final phase of the study, we will be conducting data analyses and disseminating study findings via presentations and publications. Feasibility will be demonstrated by successful participant retention and a high level of app use. We will examine individual metrics (eg, duration of use, number of screens viewed, change in usage patterns over time) and engagement with interactive activities (eg, activity tracking). CONCLUSIONS: We will aggregate these data into composite exposure scores that combine number of visits and overall duration to calculate correlations between outcome and measures of program exposure and engagement. Finally, we will compare app use between participants and non-participants using Google Analytics.

Essential ("precursor") chemical control for heroin: impact of acetic anhydride regulation on US heroin availability.

BACKGROUND: To reduce heroin availability, the United Nations (UN) has encouraged nations to control acetic anhydride, an essential ("precursor") chemical typically necessary to the drug's production. This effort, a major environmental prevention policy, has received little evaluation. The United States, per the UN's lead, implemented acetic anhydride regulation in 11/1989. The present study examines whether the US regulation impacted US heroin availability. METHODS: Monthly series of three heroin availability indicators-heroin purity, heroin price, and amount of heroin seized-were constructed for the conterminous United States, the US Southwest (supplied predominantly with Mexican-produced heroin), and the US Northeast (supplied predominantly, at the time, with Southeast Asian-produced heroin). Data came from the System to Retrieve Information from Drug Evidence (01/1987-04/2011). Impacts were assessed using ARIMA-intervention time series analysis. RESULTS: In each US area, heroin purity and amount seized rose and price decreased throughout the pre-intervention period. All of the indicators then reversed course at the time of the regulation. In the conterminous United States, the US Northeast, and the US Southwest, purity decreased (-40%, -25% and -50%, respectively); amount seized decreased (-27%, -37% and -39%, respectively); and price rose (+93%, +102% and +296%, respectively). Impacts lasted 2-5 years. CONCLUSION: US heroin availability decreased in association with the US acetic anhydride regulation. The impacts in the US Southwest and US Northeast suggest that heroin production in Mexico and Southeast Asia, respectively, was constrained. This study lends support to the contention that essential ("precursor") chemical control can be used to help address heroin.

Methamphetamine suppression and route of administration: precursor regulation impacts on snorting, smoking, swallowing and injecting.

AIMS: The route of drug administration affects risk for dependence and medical harm. This study examines whether routes used by methamphetamine treatment participants were impacted by a major drug suppression policy-federal regulation of the methamphetamine precursor chemicals ephedrine and pseudoephedrine. DESIGN: Autoregressive-integrated moving average (ARIMA) intervention time-series analysis. SETTING: California (1992-2004). INTERVENTIONS: Ephedrine single-ingredient products regulation, implemented August 1995; ephedrine with other active medicinal ingredients regulation, implemented October 1996; pseudoephedrine products regulation, implemented October 1997. MEASUREMENTS: Monthly counts of non-coerced methamphetamine treatment admissions reporting snorting, smoking, swallowing or injecting. Findings After rising sharply, snorting, smoking, swallowing and injecting admissions dropped 50%, 43%, 26% and 26%, respectively, when the 1995 regulation was implemented. Snorting also dropped 38% at the time of the 1997 regulation. Snorting, swallowing and injecting remained at lower levels to the end of the study period. Smoking resurged (40%) at the time of the 1996 regulation and continued rising. CONCLUSIONS: Precursor regulation was associated with changes in the administration of methamphetamine. Injecting, the route with the greatest health risk, entered a long-term reduction. So, too, did snorting and swallowing, two routes with lower risk for dependence. In contrast, smoking, which has a relatively high risk for dependence, dropped, then rebounded and entered a long-term rise. A possible explanation is that injecting, snorting and swallowing were largely linked with US domestic methamphetamine production, which has yet to recover from the regulations. While Mexican production, which was impacted only temporarily by the regulations and has supplanted domestic production, may have helped to diffuse smoking, a route with which it is historically correlated.