"It could potentially be dangerous... but nothing else has seemed to help me.": Patient and clinician perspectives on benzodiazepine use in opioid agonist treatment

BACKGROUND

Benzodiazepine use among patients receiving opioid agonist treatment (OAT) presents a conundrum: benzodiazepines increase overdose risk, yet can treat anxiety and insomnia. How best to balance the risks and benefits of benzodiazepines among OAT patients is unclear. Using qualitative methods, we examined patient motivations for benzodiazepine use and understanding of risks, and the context in which benzodiazepine use and prescribing occurs.

METHODS

We conducted semi-structured interviews with 26 OAT patients using benzodiazepines and 10 OAT clinicians. Participants were recruited from an office-based buprenorphine clinic at an academic medical center and a methadone opioid treatment program using purposive sampling. The study team reviewed transcripts and double-coded 100% of interviews. Data analysis combined both deductive and inductive methods.

RESULTS

Major emergent themes were: 1) patients focus on benefits over risks of benzodiazepines, 2) patients can learn to use benzodiazepines safely, 3) patients want to use benzodiazepines now but discontinue in the future, 4) clinicians and patients weigh the risks and benefits of benzodiazepine use differently, 5) clinicians and patient have differences in treatment goals, and 6) clinicians struggle with benzodiazepine discontinuation.

CONCLUSIONS

OAT patients and clinicians can weigh the risks and benefits of benzodiazepines differently leading to a difference in treatment goals. The risk-benefit analysis of benzodiazepine prescribing may depend on whether the patient is engaged in opioid treatment. Future work among patients and clinicians is warranted to determine how to better balance patient and clinician priorities in order to deliver safer prescribing practices and maintain patient engagement in care.

Identifying factors associated with opioid cessation in a biracial sample using machine learning

Aim

Racial disparities in opioid use disorder (OUD) management exist, however, and there is limited research on factors that influence opioid cessation in different population groups.

Methods

We employed multiple machine learning prediction algorithms least absolute shrinkage and selection operator, random forest, deep neural network, and support vector machine to assess factors associated with ceasing opioid use in a sample of 1,192 African Americans (AAs) and 2,557 individuals of European ancestry (EAs) who met Diagnostic and Statistical Manual of Mental Disorders, 5th Edition criteria for OUD. Values for nearly 4,000 variables reflecting demographics, alcohol and other drug use, general health, non-drug use behaviors, and diagnoses for other psychiatric disorders, were obtained for each participant from the Semi-Structured Assessment for Drug Dependence and Alcoholism, a detailed semi-structured interview.

Results

Support vector machine models performed marginally better on average than other machine learning methods with maximum prediction accuracies of 75.4% in AAs and 79.4% in EAs. Subsequent stepwise regression considered the 83 most highly ranked variables across all methods and models and identified less recent cocaine use (AAs: odds ratio (OR) = 1.82, P = 9.19 × 10^-5; EAs: OR = 1.91, P = 3.30 × 10^-15), shorter duration of opioid use (AAs: OR = 0.55, P = 5.78 × 10^-6; EAs: OR = 0.69, P = 3.01 × 10^-7), and older age (AAs: OR = 2.44, P = 1.41 × 10^-12; EAs: OR = 2.00, P = 5.74 × 10^-9) as the strongest independent predictors of opioid cessation in both AAs and EAs. Attending self-help groups for OUD was also an independent predictor (P < 0.05) in both population groups, while less gambling severity (OR = 0.80, P = 3.32 × 10^-2) was specific to AAs and post-traumatic stress disorder recovery (OR = 1.93, P = 7.88 × 10^-5), recent antisocial behaviors (OR = 0.64, P = 2.69 × 10^-3), and atheism (OR = 1.45, P = 1.34 × 10^-2) were specific to EAs. Factors related to drug use comprised about half of the significant independent predictors in both AAs and EAs, with other predictors related to non-drug use behaviors, psychiatric disorders, overall health, and demographics.

Conclusions

These proof-of-concept findings provide avenues for hypothesis-driven analysis, and will lead to further research on strategies to improve OUD management in EAs and AAs.

Effect of screening, brief intervention and referral to treatment for unhealthy alcohol and other drug use in mental health treatment settings: a randomized controlled trial

AIMS

To test the efficacy of a brief intervention to reduce alcohol or drug use and to promote use of addiction services among patients seeking mental health treatment.

DESIGN AND SETTING

A multi-centre, longitudinal, two-group randomized controlled trial with randomization within each of two mental health treatment systems located in Ventura County and Los Angeles County in California, USA.

PARTICIPANTS

A total of 718 patients (49.2% female) aged 18 and older with a mental health diagnosis and either a heavy drinking day or any use of cannabis or stimulants in the past 90 days.

INTERVENTION AND COMPARATOR

A motivation-based brief intervention with personalized feedback (screening, brief intervention and referral to treatment (SBIRT) condition) (n = 354) or a health education session (control condition) (n = 364).

MEASUREMENTS

Primary outcomes included frequency of heavy drinking days, days of cannabis use and days of stimulant use at the primary end-point 3 months post-baseline. Secondary outcomes included frequency and abstinence from substance use out to a 12-month follow-up and the use of addiction treatment services.

FINDINGS

Participants in the SBIRT condition had fewer heavy drinking days [odds ratio (OR) = 0.53; 95% credible interval (CrI) = 0.48-0.6] and fewer days of stimulant use (OR = 0.58; 95% CrI = 0.50-0.66) at the 3-month follow-up compared with participants in the health education condition. Participants in the SBIRT condition did not comparatively reduce days of cannabis use at the 3-month follow-up (OR = 0.93; 95% CrI = 0.85-1.01). Secondary outcomes indicated sustained effects of SBIRT on reducing the frequency of heavy drinking days and days of stimulant use. No effects were observed on abstinence rates or use of addiction treatment services.

CONCLUSIONS

Screening and brief intervention for unhealthy alcohol and drug use in mental health treatment settings were effective at reducing the frequency of heavy drinking and stimulant use.

The Cost of a Cigarette: Opportunities to Engage Hospitalized Patients With Opioid Use Disorder

Ensuring the safety of hospitalized patients with opioid use disorder who inject substances frequently presents management challenges for hospital staff. This commentary expounds on those challenges and offers areas of opportunity to provide patient-centered care for these patients.

Evidence based models of care for the treatment of alcohol use disorder in primary health care settings: a systematic review

Background

Pharmacological and behavioural treatments for alcohol use disorders (AUDs) are effective but the uptake is limited. Primary care could be a key setting for identification and continuous care for AUD due to accessibility, low cost and acceptability to patients.

We aimed to synthesise the literature regarding differential models of care for the management of AUD in primary health care settings.

Methods

We conducted a systematic review of articles published worldwide (1998-present) using the following databases; Medline, PsycINFO, Cochrane database of systematic reviews, Cochrane Central Register of Controlled Trials and Embase. The Grey Matters Tool guided the grey literature search. We selected randomised controlled trials evaluating the effectiveness of a primary care model in the management of AUD. Two researchers independently assessed and then reached agreement on the included studies. We used the Cochrane risk of bias tool 2.0 for the critical appraisal.

Results

Eleven studies (4186 participants) were included. We categorised the studies into ‘lower’ versus ‘higher’ intensity given the varying intensity of clinical care evaluated across the studies. Significant differences in treatment uptake were reported by most studies. The uptake of AUD medication was reported in 5 out of 6 studies that offered AUD medication. Three studies reported a significantly higher uptake of AUD medication in the intervention group. A significant reduction in alcohol use was reported in two out of the five studies with lower intensity of care, and three out of six studies with higher intensity of care.

Conclusion

Our results suggest that models of care in primary care settings can increase treatment uptake (e.g. psychosocial and/or pharmacotherapy) although results for alcohol-related outcomes were mixed. More research is required to determine which specific patient groups are suitable for AUD treatment in primary health care settings and to identify which models and components are most effective.

Trial Registration

PROSPERO: CRD42019120293.

The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

BACKGROUND

Opioid overdose deaths remain high in the U.S. Despite having effective interventions to prevent overdose deaths, there are numerous barriers that impede their adoption. The primary aim of the HEALing Communities Study (HCS) is to determine the impact of an intervention consisting of community-engaged, data-driven selection, and implementation of an integrated set of evidence-based practices (EBPs) on reducing opioid overdose deaths.

METHODS

The HCS is a four year multi-site, parallel-group, cluster randomized wait-list controlled trial. Communities (n = 67) in Kentucky, Massachusetts, New York and Ohio are randomized to active intervention (Wave 1), which starts the intervention in Year 1 or the wait-list control (Wave 2), which starts the intervention in Year 3. The HCS will test a conceptually driven framework to assist communities in selecting and adopting EBPs with three components: 1) a community engagement strategy with local coalitions to guide and implement the intervention; 2) a compendium of EBPs coupled with technical assistance; and 3) a series of communication campaigns to increase awareness and demand for EBPs and reduce stigma. An implementation science framework guides the intervention and allows for examination of the multilevel contexts that promote or impede adoption and expansion of EBPs. The primary outcome, number of opioid overdose deaths, will be compared between Wave 1 and Wave 2 communities during Year 2 of the intervention for Wave 1. Numerous secondary outcomes will be examined.

DISCUSSION

The HCS is the largest community-based implementation study in the field of addiction with an ambitious goal of significantly reducing fatal opioid overdoses.

The Opioid-overdose Reduction Continuum of Care Approach (ORCCA): Evidence-based practices in the HEALing Communities Study

BACKGROUND

The number of opioid-involved overdose deaths in the United States remains a national crisis. The HEALing Communities Study (HCS) will test whether Communities That HEAL (CTH), a community-engaged intervention, can decrease opioid-involved deaths in intervention communities (n = 33), relative to wait-list communities (n = 34), from four states. The CTH intervention seeks to facilitate widespread implementation of three evidence-based practices (EBPs) with the potential to reduce opioid-involved overdose fatalities: overdose education and naloxone distribution (OEND), effective delivery of medication for opioid use disorder (MOUD), and safer opioid analgesic prescribing. A key challenge was delineating an EBP implementation approach useful for all HCS communities.

METHODS

A workgroup composed of EBP experts from HCS research sites used literature reviews and expert consensus to: 1) compile strategies and associated resources for implementing EBPs primarily targeting individuals 18 and older; and 2) determine allowable community flexibility in EBP implementation. The workgroup developed the Opioid-overdose Reduction Continuum of Care Approach (ORCCA) to organize EBP strategies and resources to facilitate EBP implementation.

CONCLUSIONS

The ORCCA includes required and recommended EBP strategies, priority populations, and community settings. Each EBP has a "menu" of strategies from which communities can select and implement with a minimum of five strategies required: one for OEND, three for MOUD, and one for prescription opioid safety. Identification and engagement of high-risk populations in OEND and MOUD is an ORCCArequirement. To ensure CTH has community-wide impact, implementation of at least one EBP strategy is required in healthcare, behavioral health, and criminal justice settings, with communities identifying particular organizations to engage in HCS-facilitated EBP implementation.

Deaths and Years of Potential Life Lost From Excessive Alcohol Use - United States, 2011-2015

Excessive alcohol use is a leading cause of preventable death in the United States (1) and costs associated with it, such as those from losses in workplace productivity, health care expenditures, and criminal justice, were $249 billion in 2010 (2). CDC used the Alcohol-Related Disease Impact (ARDI) application* to estimate national and state average annual alcohol-attributable deaths and years of potential life lost (YPLL) during 2011-2015, including deaths from one's own excessive drinking (e.g., liver disease) and from others' drinking (e.g., passengers killed in alcohol-related motor vehicle crashes). This study found an average of 95,158 alcohol-attributable deaths (261 deaths per day) and 2.8 million YPLL (29 years of life lost per death, on average) in the United States each year. Of all alcohol-attributable deaths, 51,078 (53.7%) were caused by chronic conditions, and 52,921 (55.6%) involved adults aged 35-64 years. Age-adjusted alcohol-attributable deaths per 100,000 population ranged from 20.8 in New York to 53.1 in New Mexico. YPLL per 100,000 population ranged from 631.9 in New York to 1,683.5 in New Mexico. Implementation of effective strategies for preventing excessive drinking, including those recommended by the Community Preventive Services Task Force (e.g., increasing alcohol taxes and regulating the number and concentration of alcohol outlets), could reduce alcohol-attributable deaths and YPLL.^†.

Drug use disorder following early life exposure to tetrachloroethylene (PCE)-contaminated drinking water: a retrospective cohort study

BACKGROUND

Many studies of adults with occupational exposure to solvents such as tetrachloroethylene (PCE) have shown adverse effects on cognition, mood and behavioral problems. Much less is known about neurotoxic effects in early life at lower exposure levels seen in community settings. We recently reported that illicit drug use was more frequent among adults from Cape Cod, Massachusetts who were exposed to PCE-contaminated drinking water during gestation and early childhood than their unexposed counterparts. Using newly collected data from this population-based retrospective cohort study, the current analysis examines whether early life PCE exposure is also associated with drug use disorder over the life course.

METHODS

Three-hundred and sixty-three subjects with prenatal and early childhood PCE exposure and 255 unexposed subjects were studied. These individuals (median age: 40-41 years) completed self-administered questionnaires on the eleven established diagnostic criteria for drug use disorder and confounding variables. A validated leaching and transport model was used to estimate exposure to PCE-contaminated water.

RESULTS

Overall, 23.3% of subjects reported having at least one criterion for drug use disorder over their lifetime. Early life PCE exposure was associated with a modest increase in the lifetime presence of one or more diagnostic criteria for drug use disorder (adjusted RR: 1.4, 95% CI: 1.0-1.8). Compared to unexposed subjects, PCE-exposed subjects were more likely to report having most diagnostic criteria of drug use disorder, including neglecting major roles due to drug use, physical and psychological problems related to drug use, and giving up activities due to drug use. No dose-response relationships were observed with increasing levels of PCE exposure.

CONCLUSIONS

These results suggest that exposure to PCE-contaminated drinking water during early life modestly increases the risk of developing diagnostic criteria for drug use disorder later in life. Because this study has several limitations, these findings should be confirmed in follow-up investigations of other exposed populations with more diverse racial and socioeconomic characteristics.

Medication for addiction treatment and acute care utilization in HIV-positive adults with substance use disorders

Medication for addiction treatment (MAT) could reduce acute care utilization in HIV-positive individuals with substance use disorders. The study objective was to determine if HIV-positive people with substance use disorders treated with MAT report less acute care utilization than those not receiving MAT. We assessed the association between MAT and acute care utilization among HIV-positive individuals with alcohol or opioid use disorder. Acute care utilization 6 months later was defined as any past 3-month self-reported (1) emergency department (ED) visit and (2) hospitalization. Of 153 participants, 88% had alcohol use disorder, 41% had opioid use disorder, and 48 (31%) were treated with MAT. Fifty-five (36%) participants had an ED visit and 38 (25%) participants had a hospitalization. MAT was not associated with an ED visit (AOR 1.12, 95% CI 0.46-2.75) or hospitalization (AOR 1.09, 95% CI 0.39-3.04). MAT was not associated with acute care utilization. These results highlight the need to increase MAT prescribing in HIV-positive individuals with substance use disorders, and to address the many factors that influence acute care utilization.

Screening and brief intervention for lower-risk drug use in primary care: A pilot randomized trial

AIMS

The efficacy of screening and brief intervention for lower-risk drug use is unknown. This pilot study tested the efficacy of two brief interventions (BIs) for drug use compared to no BI in primary care patients with lower-risk drug use identified by screening.

METHODS

We randomly assigned participants identified by screening with Alcohol Smoking and Substance Involvement Screening Test (ASSIST) drug specific scores of 2 or 3 to: no BI, a brief negotiated interview (BNI), or an adaptation of motivational interviewing (MOTIV). Primary outcome was number of days use of main drug in the past 30 as determined by validated calendar method at 6 months. Analyses were performed using negative binomial regression adjusted for baseline use and main drug.

RESULTS

Of 142 eligible adults, 61(43 %) consented and were randomized. Participant characteristics were: mean age 41; 54 % male; 77 % black. Main drug was cannabis 70 %, cocaine 15 %, prescription opioid 10 %; 7% reported injection drug use and mean days use of main drug (of 30) was 3.4. At 6 months, 93 % completed follow-up and adjusted mean days use of main drug were 6.4 (no BI) vs 2.1 (BNI) (incidence rate ratio, IRR 0.33[0.15-0.74]) and 2.3 (MOTIV) (IRR 0.36[0.15-0.85]).

CONCLUSIONS

BI appears to have efficacy for preventing an increase in drug use in primary care patients with lower-risk use identified by screening. These findings raise the potential that less severe patterns of drug use in primary care may be uniquely amenable to brief intervention and warrant replication.

"The post-COVID era": challenges in the treatment of substance use disorder (SUD) after the pandemic

BACKGROUND

Citizens affected by substance use disorders are high-risk populations for both SARS-CoV-2 infection and COVID-19-related mortality. Relevant vulnerabilities to COVID-19 in people who suffer substance use disorders are described in previous communications. The COVID-19 pandemic offers a unique opportunity to reshape and update addiction treatment networks.

MAIN BODY

Renewed treatment systems should be based on these seven pillars: (1) telemedicine and digital solutions, (2) hospitalization at home, (3) consultation-liaison psychiatric and addiction services, (4) harm-reduction facilities, (5) person-centered care, (6) promote paid work to improve quality of life in people with substance use disorders, and (7) integrated addiction care. The three "best buys" of the World Health Organization (reduce availability, increase prices, and a ban on advertising) are still valid. Additionally, new strategies must be implemented to systematically deal with (a) fake news concerning legal and illegal drugs and (b) controversial scientific information.

CONCLUSION

The heroin pandemic four decades ago was the last time that addiction treatment systems were updated in many western countries. A revised and modernized addiction treatment network must include improved access to care, facilitated where appropriate by technology; more integrated care with addiction specialists supporting non-specialists; and reducing the stigma experienced by people with SUDs.

An integrated videoconferencing intervention for chronic pain and heavy drinking among patients in HIV-care: a proof-of-concept study

Chronic pain and heavy drinking are common comorbid conditions among people living with HIV/AIDS (PLWHA). An integrated approach to address these co-occurring conditions in a manner that facilitates treatment utilization would represent an important advance in HIV-care. This study examined the acceptability and feasibility of a tailored, videoconferencing intervention to reduce chronic pain and heavy drinking among PLWHA. Participants in HIV-care (n = 8) completed baseline assessments and an in-person intervention session followed by 6 videoconferencing sessions. Acceptability and feasibility were assessed with patient satisfaction ratings and interview responses 8 weeks following baseline along with videoconferencing use during the intervention period. Treatment satisfaction and comprehensibility ratings were high and supported by interview responses indicating the value of the intervention content, treatment alliance, and format. All participants successfully enabled videoconferencing on their own smartphones and completed a median number of 4.5 (out of 6) video-sessions. Changes in heavy drinking and pain provided additional support for the potential utility of this approach. Results suggest that this videoconferencing intervention is an acceptable and feasible method of addressing chronic pain and heavy drinking among PLWHA. Findings provide the basis for future work to examine the efficacy of this approach in a Stage 1b trial.

Food insecurity and substance use in people with HIV infection and substance use disorder

BACKGROUND

Food insecurity and substance use are common among people living with HIV (PLWH). Substance use may help people cope with hunger and thus be associated with food insecurity, but the association is uncertain. This study assessed whether, in PLWH and substance dependence, if there was an association between food insecurity and substance use.

Methods: We studied adults with HIV and current substance dependence or ever injection drug use interviewed at 12 and 24 months after enrollment in a prospective cohort study. The presence of food insecurity (insufficient food quantity or quality, or anxiety about its availability) was assessed using the Household Food Insecurity Assessment Scale questionnaire (HFIAS). Unhealthy alcohol use was assessed with the Alcohol Use Disorder Identification Test - Consumption (AUDIT-C) and past 30-day other drug use with the Addiction Severity Index. Associations using repeat cross-sectional data from each of two time-points, 12 months apart, from the same participants were tested using generalized estimating equations logistic regressions.

Results: The 233 participants had a mean age of 50 years and 65% were male. At the first interview, 44% reported food insecurity, 40% unhealthy alcohol use, 25% past 30-day cocaine use, and 17% past 30-day illicit opioid use. In analyses adjusted for demographics, social factors, physical and mental health function, and substance use related variables, there was no significant association between food insecurity and unhealthy alcohol use (adjusted odds ratio (aOR) = 1.06 (95% CI: 0.59, 1.87)). Those with food insecurity had higher odds of illicit opioid use (aOR = 2.5 (95% CI: 1.12, 5.58)) and cocaine use (aOR = 1.95 (CI 95%: 1.00, 3.81)).

Conclusion: Food insecurity was not associated with unhealthy alcohol use but was associated with cocaine and illicit opioid use. Given the prevalence and impact substance use has on PLWH, food insecurity should be identified and addressed.