Availability of tobacco cessation services in substance use disorder treatment programs: Impact of state tobacco control policy

Gambling, tobacco use, and health among individuals in substance use disorder treatment

BACKGROUND AND OBJECTIVES

Gambling is highly comorbid with disordered use of tobacco and other drugs, and may increase relapse risk among substance use disorder (SUD) patients. We investigated associations between gambling and tobacco use behaviors among SUD patients to inform clinical care.

METHODS

Patients (N = 651, 170 female) from 25 residential SUD treatment programs in California completed surveys about tobacco use, health, and gambling. Using multivariate regression, we examined associations between gambling, tobacco use behaviors, and mental and physical health.

RESULTS

Past-year gamblers were more likely than non-gamblers to be current smokers (adjusted odds ratio [AOR] = 1.44, 95% confidence interval [CI] = 1.03, 2.01). Smokers who gambled had higher mean Heaviness of Smoking Index (HSI) scores (mean difference = +0.32, 95% CI = 0.04, 0.60), and more often reported smokeless tobacco use (AOR = 1.73, 95% CI = 1.16, 2.58), compared to non-gambling smokers. Past-year problem gamblers were more likely than all others (non-gamblers and non-problem gamblers) to be current smokers (AOR = 1.44, 95% CI = 1.08, 1.90) and to report high psychosocial stress (AOR = 1.87, 95% CI = 1.34, 2.61). Smokers with problem gambling also had higher HSI scores (mean difference = +0.54, 95% CI = 0.14, 0.95) compared to smokers without problem gambling.

DISCUSSION AND CONCLUSIONS

Gambling and problem gambling were associated with tobacco use and heavier smoking. SUD patients with gambling comorbidity may be heavier smokers and may need concurrent treatment for tobacco use and problem gambling.

SCIENTIFIC SIGNIFICANCE

This study provides novel data regarding gambling and tobacco use behaviors among SUD patients.

A Widening Divide: Cigarette Smoking Trends Among People With Substance Use Disorder And Criminal Legal Involvement

People with substance use disorder (SUD) smoke cigarettes at a rate more than twice that of the general population. Policies and programs have focused on promoting smoking cessation among people with SUD, yet it is unclear whether interventions have adequately reached the subgroup involved in the criminal legal system, who have among the highest smoking rates. Drawing on repeated cross-sections of the National Survey on Drug Use and Health, we found that smoking rates declined by 9.4 percentage points overall among people with SUD from 2010 to 2019, but rates remained virtually unchanged among the subgroup with criminal legal involvement. In regression analyses focused on people with SUD, three-quarters of the excess smoking burden for those with criminal legal involvement at baseline (2010-13) was accounted for by controlling for sociodemographics, substance use type, health insurance, and recent SUD treatment. However, even after we controlled for these same factors, the disparity in smoking prevalence among people with SUD between those with and without criminal legal involvement remained constant over time. These findings underscore the need for smoking cessation interventions focused on the criminal legal system, including correctional facilities and SUD treatment programs that serve people in this population.

Associations of tobacco cigarette use and dependence with substance use disorder treatment completion by sex/gender and race/ethnicity

INTRODUCTION

Individuals with substance use disorders (SUD) are approximately five times more likely to smoke cigarettes than the general population. Individuals who smoke cigarettes have greater odds of SUD relapse compared to individuals who do not smoke cigarettes, but we know little about how cigarette use is related to SUD treatment completion overall by sex/gender or race/ethnicity.

METHODS

This study examined 2855 adults (71.98 % male; >70 % racial/ethnic minority) in outpatient and residential SUD treatment at a New York-based treatment agency over a six-month period in 2018.

RESULTS

Overall, approximately three-fourths of SUD treatment-seeking participants smoked cigarettes, with high rates across sex/gender and racial/ethnic groups. Nicotine dependence did not differ by sex/gender, and White Non-Hispanic adults had the highest levels of nicotine dependence across racial/ethnic groups. Those who smoked cigarettes were significantly less likely to complete treatment compared to those who did not smoke cigarettes (OR = 0.69; 95 % CI: 0.58, 0.82). The study found no overall differences in SUD treatment completion and length of stay by sex/gender or race/ethnicity.

CONCLUSIONS

Given the high prevalence of cigarette smoking and lower odds of completing SUD treatment, the current system of care for SUD treatment may be enhanced by addressing cigarette smoking from onset of treatment.

Medicaid Expansion and Availability of Opioid Medications in the Specialty Substance Use Disorder Treatment System

OBJECTIVE

Research has examined the effect of Medicaid expansion on access to physicians with buprenorphine waivers, but less attention has been paid to Medicaid's impact on opioid use disorder medication availability within the specialty substance use disorder treatment system. To address this gap in the literature, this study examined the impact of Medicaid expansion on availability of opioid medications in specialty programs.

METHODS

This study used data from the National Survey of the Substance Abuse Treatment Services (2002-2017), containing all known substance use disorder treatment programs in the United States, to examine the effect of Medicaid expansion on the availability of opioid use disorder medications by treatment program ownership type (publicly owned, private for profit, and private nonprofit) among opioid treatment programs (OTPs) and non-OTPs.

RESULTS

The effects of Medicaid expansion were limited to nonprofit and for-profit OTPs. Medicaid expansion was associated with 135.1% and 57.5% increases in the number of nonprofit and for-profit OTPs offering injectable naltrexone, respectively, and with a 64.4% increase in the number of nonprofit OTPs offering buprenorphine. Nonprofit and for-profit OTPs compose <10% of the treatment system, indicating that improvements in opioid use disorder treatment associated with Medicaid expansion were limited to a small share of the specialty system.

CONCLUSIONS

The limited impact of Medicaid expansion on the specialty treatment system may perpetuate disparities in the accessibility and quality of opioid use disorder treatment for Medicaid enrollees and fail to alleviate high rates of opioid use disorder and opioid overdose deaths in this vulnerable population.

Smoking patterns and preferences for technology assisted smoking cessation interventions among adults with opioid and alcohol use disorders

Background

Smoking remains a major public health burden among persons with opioid and/or alcohol use disorder.

Methods

A 49-item semi-structured survey was conducted among urban, inpatient detoxification program patients eliciting demographic and clinical characteristics, smoking profile, technology use patterns, and preferences for adopting technology-based smoking cessation interventions. Multivariate logistic regression models further evaluated the association between participant demographic and clinical characteristics and technology preferences.

Results

Participants were mostly male (91%), and admitted for detoxification for alcohol (47%), heroin (31%), or both alcohol and heroin (22%). Past 30-day smoking was reported by 78% of the sample. Mobile phone ownership was common (89%); with an average past-year turnover of 3 mobile phones and 3 phone numbers. Computer ownership was low (28%) and one third reported daily internet use (34%). Telephone (41%) and text message-based interventions (40%) were the most popular platforms to facilitate smoking cessation.

Conclusions

Despite concurrent AUD-OUD, most respondents had attempted to quit smoking in the last year and preferred telephone- and text message-based interventions to facilitate smoking cessation. High turnover of mobile phones, phone numbers, and limited access to computers pose barriers to dissemination of technology-based smoking cessation interventions in this vulnerable population.