Is recovery from cannabis use problems different from alcohol and other drugs? Results from a national probability-based sample of the United States adult population

Sexual minority disparities in psychosocial functioning following substance use recovery among a representative sample of US adults

Purpose

Sexual minority (SM; e.g., gay, lesbian, bisexual) individuals are disproportionately impacted by alcohol and other drug (AOD) use disorders and psychosocial factors that can exacerbate AOD use disorders and hinder recovery. This study examines SM sub-group differences (monosexual [gay/lesbian] versus bisexual) regarding adaptation to recovery measured by indices of psychosocial functioning. Identifying differential needs of gay/lesbian versus bisexual individuals could improve services to better meet the needs of SM individuals in recovery.

Methods

Using data from the National Recovery Study, a nationally representative cross-sectional sample of US adults who reported resolving an AOD problem (N = 2,002), we compared heterosexual to monosexual and bisexual SM individuals on socio-demographic characteristics, AOD use and treatment, and psychosocial variables.

Results

Bisexual individuals were significantly younger than heterosexual individuals (p = .002 and p ≤ 0.001 among men and women, respectively) and reported significantly fewer years since AOD problem resolution compared to heterosexual individuals (p = .004 and p = .003 among men and women, respectively). Most notably, bisexual individuals, but not gay/lesbian individuals, reported significantly lower quality of life (QOL), happiness, self-esteem, and significantly higher distress compared to heterosexual individuals.

Conclusion

Bisexual, but not monosexual, SM individuals in recovery from an AOD use disorder, were younger and reported worse psychosocial functioning than heterosexual individuals. Findings highlight significant differences between monosexual versus bisexual identified individuals with a notable disadvantage experienced by bisexual individuals. More needs to be learned about the challenges faced by bisexual individuals in recovery to better address their needs and support long-term AOD recovery.

Cannabis Use Among U.S. Military Veterans Following Residential Substance Use Disorder Treatment

INTRODUCTION

Use rates of cannabis, a substance associated with a host of comorbid physical and mental health concerns, continue to rise for military veterans. Despite this prevalence, descriptive patterns of use among veterans and research on treatment factors that predict cannabis outcomes are lacking. This study aimed to conduct a descriptive profile of veterans who endorse cannabis use, compare veterans endorsing cannabis use to those who do not endorse use, and investigate what factors (other substance use, psychiatric symptoms, and treatment outcomes) predicted return to cannabis use following residential treatment.

MATERIALS AND METHODS

The study was a secondary data analysis of a longitudinal sample of U.S. military veterans (N = 200, 193 males, Mage = 50.14, SD = 9) participating in residential substance use disorder treatment through a Veterans Affairs medical center. Interview, survey, and electronic health data were collected over 12 months. Analyses included descriptive and frequency statistics to identify patterns in cannabis use behaviors and motives, independent t-tests to examine differences between the cannabis-using group and non-using group, and a series of univariate logistic regressions to examine potential predictors for cannabis use after treatment discharge.

RESULTS

Lifetime cannabis use was common among veterans (77.5%), and 29.5% reported use during the study. On average, veterans had made one quit attempt before treatment entry. Veterans who endorsed cannabis use consumed more alcohol in the past 30 days at baseline and reported less impulse control and less confidence in maintaining abstinence at discharge. Length of stay in the residential program and no diagnosis of Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV cannabis use disorder criteria predicted post-treatment cannabis use such that veterans who remained in the program longer were more likely to abstain from cannabis use following treatment, and those who did not meet DSM-IV cannabis use disorder criteria were more likely to use following treatment.

CONCLUSIONS

Identification of relevant risk factors and treatment processes, such as impulse control, confidence in treatment, and length of stay in treatment, provides practical recommendations for future intervention efforts. This study calls for further examination of cannabis use outcomes among veterans, particularly those participating in substance use treatment.

Examining untreated and treated alcohol problem resolution in an Australian online survey sample

INTRODUCTION

While treatment is an effective way to resolve alcohol problems, many people resolve their alcohol problems in the absence of treatment. Just how many do so is not known and may vary based on the definition of treatment. Various estimates of untreated alcohol problem resolution were calculated in this study, and the differences between people who resolve their alcohol problems with or without treatment were explored in relation to sociodemographic variables, levels of alcohol consumption in the past 12 months and lifetime alcohol problem severity.

METHODS

A cross-sectional online survey was administered to 719 people who had resolved an alcohol problem in Australia. Convenience sampling was used through a recruitment strategy targeted towards the general population via Facebook.

RESULTS

Almost half (49.8%) of all people who resolved their alcohol problem did so in the absence of alcohol treatment, whether specialist alcohol treatment, mutual-aid services or digital support services. When accessing mental health treatment is included under the scope of 'treatment', this estimate dropped to 12.8%. The estimated odds of having accessed treatment increased with age and lifetime alcohol problem severity. Other sociodemographic variables, or levels of alcohol consumption in the past 12 months, were not significantly associated with treatment status.

DISCUSSION AND CONCLUSIONS

It might be beneficial to expand the scope of 'treatment' to include mental health services and focus on the development of cost-effective and less intrusive standalone activities, which can expedite and support alcohol problem resolution for those who choose not to access specialist treatment.

Attitudes toward opioid use disorder medications: Results from a U.S. national study of individuals who resolved a substance use problem

The attitudes of individuals who receive, provide, or influence opioid use disorder (OUD) medication services, also called stakeholders, may enhance or hinder their dissemination and adoption. Individuals who have resolved a significant alcohol or other drug (AOD) problem are a group of key stakeholders whose OUD medication attitudes are not well understood empirically. This group subsumes, but is not limited to, individuals who identify as being "in recovery." Analyses leveraged the National Recovery Study, a geo-demographically representative survey of U.S. adults who resolved a significant AOD problem (N = 1,946). We examined the prevalence of positive, neutral, and negative attitudes toward agonists, such as buprenorphine/naloxone and methadone, and antagonists, such as oral and extended-release depot injection naltrexone. Single-predictor logistic regression models tested for demographic, clinical, and recovery-related correlates of these attitudes and, for those significant at the .1 level, multivariable-predictor logistic regression models tested unique associations between these correlates and attitudes. Results showed that participants were equally likely to hold positive (21.4 [18.9-24.0]%) and negative agonist (23.8 [21.2-26.7]%) attitudes but significantly more likely to hold negative (30.3 [27.4-33.3]%) than positive antagonist attitudes (18.0 [15.9-20.4]%). Neutral attitudes were most commonly endorsed for both agonists (54.8 [51.6-57.9]%) and antagonists (51.7 [48.5-54.8]%). For agonists, more recent AOD problem resolution was a unique predictor of positive attitude, whereas Black and Hispanic races/ethnicities, compared with White, were unique predictors of negative attitude. For antagonists, older age group (45-59 and 60 + vs. 18-29 years), lifetime opioid antagonist medication prescription, and past 90-day non-12-step mutual-help attendance were unique predictors of positive attitude, whereas greater spirituality was a unique predictor of negative attitude. This population-level study of U.S. adults who resolved an AOD problem showed that agonist attitudes may be more positive than anecdotal evidence suggests. Certain characteristics and experiences, however, highlight a greater likelihood of negative attitudes, suggesting these factors may be potential barriers to OUD medication adoption. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Redressing responses to the treatment gap for people with alcohol problems: The overlooked role of untreated remission from alcohol problems

Abstract. Aims: The “treatment gap” for people with alcohol problems has been identified as very large in the literature. An array of responses to the treatment gap have been focussed upon, including changing the perceptions of untreated people in order to make them want treatment more. A separate approach identifies the treatment system itself as the cause of the treatment gap. The aim of this paper was to consider research on untreated remission from alcohol problems to better understand responses to the treatment gap. Methodology: Three areas of existing published literature were thematically reviewed and synthesised: treatment gap research, untreated remission from alcohol problems research, and treatment planning and system design research. Results: Including rates of untreated remission from alcohol problems reduces the size of the treatment gap considerably. Treatment planning models which estimate unmet demand are better suited than unmet need when identifying gaps in service provision. Responding to the treatment gap requires broadening the treatment system beyond the specialised setting, and the assumptions associated with the process and expected outcomes of remission may need revisiting. Conclusions: Treatment planning models are useful when identifying gaps in service provision, but more sophisticated inclusion of untreated remission data is required. The treatment response may need to be diversified to support the life circumstances and perspectives of people with alcohol problems, with one example (outlined in this paper) being the provision of digital support services.

Problems with defining cannabis dependence

PURPOSE OF REVIEW

Cannabis enjoys a unique social status, widely perceived as a relatively harmless drug, with several benefits reported by the people who use it. Several jurisdictions have opened up access to cannabis to their populations for medicinal and/or recreational reasons. Given this changing regulatory environment, this article is intended to prompt debate about what is known about cannabis dependence and what has still to be revealed.

RECENT FINDINGS

Evidence suggests that 1 in 10 cannabis users are at risk of developing dependence. However, investigation of the way risk is estimated and the diagnosis of cannabis use disorder is constructed highlight some methodological problems, which call into question the incidence and prevalence of this diagnosis.

SUMMARY

There is scope to improve the way cannabis dependence is defined and counted in at-risk populations. Improving our understanding of this risk could lead to identifying who might be at risk of developing dependence prior to exposure to the drug.

Smoking cessation in the context of recovery from drug and alcohol problems: Prevalence, predictors, and cohort effects in a national U.S. sample

BACKGROUND

Tobacco and alcohol and other drug (AOD) use remain prominent risk factors for morbidity, mortality, and health care utilization. Moreover, these often cluster together within persons, exponentiating health risks. Little is known regarding if and when people resolving AOD problems stop smoking, who stops, and whether recent general population trends toward smoking cessation are evident also among persons more recently entering recovery.

DESIGN AND PARTICIPANTS

National cross-sectional sample resolving AOD problems (final sample n = 2002).

ANALYSES

Weighted smoking/cessation prevalence; logistic regressions; Hazard-models estimated time to smoking cessation overall, and for different cohorts entering recovery during one of three decades: a) 2006-2015; b) 1996-2005; c) 1986-1995.

RESULTS

Approximately 30% of U.S. adults in AOD recovery with a smoking history stopped smoking before entering recovery, 7% quit smoking and AOD use concurrently, 26% stopped after entering recovery; 37% still smoked. Among those quitting after entering recovery, the prevalence of smoking cessation 5- and 10-years later was 27.2% and 55.1% respectively for the 2006-2015 cohort and 14.9% and 34.5% in the 1986-1995 cohort; time to smoking cessation also was 60% shorter (5yrs vs. 8yrs). Time to smoking cessation was associated with education and income, but not 12-step participation or AOD treatment.

CONCLUSIONS

Smoking rates among those in AOD recovery are more than double that of the general population but those entering recovery in recent years are stopping and stopping sooner. It is plausible that public health-oriented tobacco policy measures and easier access to smoking cessation aids may be contributing to this salutary trend.

Expanding the reach of alcohol and other drug services: Prevalence and correlates of US adult engagement with online technology to address substance problems

Online technologies are well integrated into the day-to-day lives of individuals with alcohol and other drug (i.e., substance use) problems. Interventions that leverage online technologies have been shown to enhance outcomes for these individuals. To date, however, little is known about how those with substance use problems naturally engage with such platforms. In addition, the scientific literatures on health behavior change facilitated by technology and harms driven by technology engagement have developed largely independent of one another. In this secondary analysis of the National Recovery Study (NRS), which provides a geo-demographically representative sample of US adults who resolved a substance use problem, we examined a) the weighted prevalence estimate of individuals who engaged with online technologies to "cut down on substance use, abstain from substances, or strengthen one's recovery" (i.e., recovery-related use of online technology, or ROOT), b) clinical/recovery correlates of ROOT, controlling for demographic covariates, and c) the unique association between ROOT and self-reported history of internet addiction. Results showed one in ten (11%) NRS participants reported ROOT. Significant correlates included greater current psychological distress, younger age of first substance use, as well as history of anti-craving/anti-relapse medication, recovery support services, and drug court participation. Odds of lifetime internet addiction were 4 times greater for those with ROOT (vs. no ROOT). These data build on studies of technology-based interventions, highlighting the reach of ROOT, and therefore, the potential for a large, positive impact on substance-related harms in the US.

MECHANISMS OF BEHAVIOR CHANGE IN 12-STEP APPROACHES TO RECOVERY IN YOUNG ADULTS

PURPOSE OF REVIEW

Empirical evidence indicates that, in general, treatments which systematically engage adults with freely available twelve-step mutual-help organizations (TSMHOs), such as Alcoholics Anonymous (AA) and Narcotics Anonymous (NA) often enhance treatment outcomes while reducing health care costs. Also evident is that TSMHOs facilitate recovery through mechanisms similar to those mobilized by professional interventions, such as increased abstinence self-efficacy and motivation, as well changing social networks. Much less is known, however, regarding the utility of these resources specifically for young adults and whether the TSMHO mechanisms are similar or different for young adults. This article provides a narrative review of the clinical and public health utility of TSMHOs for young adults, and summarizes theory and empirical research regarding how young adults benefit from TSMHOs.

RECENT FINDINGS

Results indicate that, compared to older adults, young adults are less likely to attend TSMHOs and attend less frequently, but derive similar benefit. The mechanisms, however, by which TSMHOs help, differ in nature and magnitude. Also, young adults appear to derive greater benefit initially from meetings attended by similar aged peers, but this benefit diminishes over time.

SUMMARY

Findings offer developmentally specific insights into TSMHO dynamics for young adults and inform knowledge of broader recovery needs and challenges.