Association of Fentanyl Test Strip Use, Perceived Overdose Risk, and Naloxone Possession among People Who Use Drugs.

Background: As opioid overdoses continue rising, interventions are needed to expand naloxone carriage, an opioid overdose reversal agent. Use of fentanyl test strips (FTS) might promote naloxone carriage. This study examines the relationship between FTS use, perceived overdose risk, and naloxone carriage in Wisconsin, United States. Methods: In a survey of people who use drugs (n = 341) in southern Wisconsin, respondents were asked about FTS use, perceived overdose risk, and how often they (1) have naloxone, (2) have more than one dose of naloxone, and (3) the number of naloxone doses possessed currently. Likert responses were mapped to an integer scale. Ordinal and linear multivariable regression examined the relationship between FTS use and study outcomes while adjusting for respondent characteristics. Results: Most respondents were male (59.6%), identified heroin as their drug of choice (70.7%) and reported intravenous use (87.9%). In unadjusted models, FTS use was associated with more often having naloxone (OR: 2.10; p = 0.005), more often having multiple naloxone doses (OR: 2.98; p < 0.001), and possessing a greater number of naloxone doses (dose count difference: 2.85; p = 0.001). In adjusted models, FTS use was associated with more often having multiple naloxone doses (OR: 2.29; p = 0.005) and possessing a greater number of naloxone doses (dose count difference: 2.25, p = 0.020). Conclusions: Individuals who use FTS more often carry multiple doses relative to individuals who do not use FTS. Given that naloxone carriage is critical for reducing opioid overdose risk, expanding FTS use may offer a strategy to reduce opioid overdose rates via improved naloxone carriage.

Contraception and Healthcare Utilization by Reproductive-Age Women Who Use Drugs in Rural Communities: a Cross-Sectional Survey.

BACKGROUND: Women who use drugs (WWUD) have low rates of contraceptive use and high rates of unintended pregnancy. Drug use is common among women in rural U.S. communities, with limited data on how they utilize reproductive, substance use disorder (SUD), and healthcare services. OBJECTIVE: We determined contraceptive use prevalence among WWUD in rural communities then compared estimates to women from similar rural areas. We investigated characteristics of those using contraceptives, and associations between contraceptive use and SUD treatment, healthcare utilization, and substance use. DESIGN: Rural Opioids Initiative (ROI) - cross-sectional survey using respondent-driven sampling (RDS) involving eight rural U.S. regions (January 2018-March 2020); National Survey on Family Growth (NSFG) - nationally-representative U.S. household reproductive health survey (2017-2019). PARTICIPANTS: Women aged 18-49 with prior 30-day non-prescribed opioid and/or non-opioid injection drug use; fecundity determined by self-reported survey responses. MAIN MEASURES: Unweighted and RDS-weighted prevalence estimates of medical/procedural contraceptive use; chi-squared tests and multi-level linear regressions to test associations. KEY RESULTS: Of 855 women in the ROI, 36.8% (95% CI 33.7-40.1, unweighted) and 38.6% (95% CI 30.7-47.2, weighted) reported contraceptive use, compared to 66% of rural women in the NSFG sample. Among the ROI women, 27% had received prior 30-day SUD treatment via outpatient counseling or inpatient program and these women had increased odds of contraceptive use (aOR 1.50 [95% CI 1.08-2.06]). There was a positive association between contraception use and recent medications for opioid use disorder (aOR 1.34 [95% CI 0.95-1.88]) and prior 6-month primary care utilization (aOR 1.32 [95% CI 0.96-1.82]) that did not meet the threshold for statistical significance. CONCLUSION: WWUD in rural areas reported low contraceptive use; those who recently received SUD treatment had greater odds of contraceptive use. Improvements are needed in expanding reproductive and preventive health within SUD treatment and primary care services in rural communities.

Differences in drug use behaviors that impact overdose risk among individuals who do and do not use fentanyl test strips for drug checking.

BACKGROUND: Opioid-involved overdose continues to rise, largely explained by fentanyl adulteration of the illicit opioid supply. Fentanyl test strips are a novel drug checking tool that can be used by people who use drugs to detect the presence of fentanyl in drug products. However, it is unclear whether fentanyl test strip use can prompt behavior changes that impact risk of overdose. METHODS: In this mixed-methods study involving a structured survey (n = 341) of syringe service program clients in southern Wisconsin, we examined the association between fentanyl test strip use and overdose risk behaviors in scenarios where the presence of fentanyl is confirmed and unknown. Individual items were transformed into summary scales representing the performance of riskier and safer behaviors. Linear regression examined the association of behaviors with FTS use. Models are adjusted for study site, race/ethnicity, age, gender, drug of choice, indicator of polysubstance use, times used per day, and lifetime overdose count. RESULTS: In response to survey questions before prompting about fentanyl risk, people who used fentanyl test strips reported an increased number of safer (p = 0.001) as well as riskier behaviors (p = 0.018) relative to people who did not use fentanyl test strips. The same held true in situations when fentanyl adulteration was suspected, though fentanyl test strip use lost significance in the fully adjusted model examining safer behaviors (safer: p = 0.143; riskier: p = 0.004). Among people who use fentanyl test strips, in unadjusted models, a positive test result was associated with more safer behaviors and fewer riskier behaviors, but these associations became nonsignificant in fully adjusted models (safer: p = 0.998; riskier: p = 0.171). Loss of significance was largely due to the addition of either polysubstance use or age to the model. CONCLUSIONS: Fentanyl test strip use is associated with behaviors that may impact overdose risk, including safer and riskier behaviors. Specifically, a positive test result may promote more risk reducing behaviors and fewer risk enhancing behaviors than a negative test result. Results suggest that while FTS may promote safer drug use behaviors, outreach and education should emphasize the need for multiple harm reduction techniques in all scenarios.

Characteristics and context of fentanyl test strip use among syringe service clients in southern Wisconsin.

BACKGROUND: Fentanyl adulteration of illicit drugs is a major driver of opioid-involved overdose in the USA. Fentanyl test strips are increasingly used by people who use drugs to check for fentanyl. However, little is known about factors that influence test strip use in this population. METHODS: In this mixed-methods study employing semi-structured open-ended interviews (n = 29) and a structured survey (n = 341), we examined characteristics associated with test strip use, characteristics of test strip use, and situational, logistical and psychosocial factors influencing test strip use. Respondents were recruited from a syringe service program in southern Wisconsin. Bivariate tests of association and multivariable logistic regression examined the relationship between respondent characteristics and test strip use. Summary statistics were used to describe how situational, logistical and psychosocial factors impact test strip use. RESULTS: Most respondents were male (59.6%), non-Hispanic white (77.4%), young (mean 35.7 years), reported heroin as their primary drug (70.7%), injection as their primary route (87.9%), and use ≥ 3 times daily (78.6%). In multivariable models, site, race and ethnicity, drug of choice, and seeking fentanyl were associated with test strip use. Among test strip users, 36.5% use them most of the time or more and 80.6% get positive results half the time or more. Among individuals reporting heroin, fentanyl, methamphetamine, or cocaine or crack cocaine at least once per month, 99.1%, 56.8%, 42.2%, and 55.7% reported testing these drugs, respectively. Test strip use is supported by information from suppliers, regular transportation, diverse distribution locations, recommendations from harm reduction staff, and having a safe or private place to use. CONCLUSIONS: We found that individuals who use fentanyl test strips are more often non-Hispanic white, use heroin, and seek drugs with fentanyl relative to individuals without test strip use. Findings confirm high fentanyl penetration in the Wisconsin drug supply. Low rates of stimulant testing suggest inadequate awareness of fentanyl penetration. Findings support outreach to key populations, increased diversity of distributing locations, efforts to correct misperceptions about drug wasting, emphasis on pre-consumption testing, and the importance of adjunct behaviors to prevent overdose given high rates of intentional fentanyl use.

Opioid-related overdose deaths by race and neighborhood economic hardship in Chicago.

Compared to national findings, Chicago has both a higher rate of opioid-related overdose death and a markedly different distribution by demographics. The Chicago Department of Public Health analyzed fatal overdoses by level of neighborhood economic hardship. The highest rate of opioid-related deaths occurred in neighborhoods with high economic hardship (36.9 per 100,000 population) compared to medium- (20.5) and low- (12.3) hardship neighborhoods. However, these patterns were not consistent across racial/Hispanic ethnicity subgroups. These data support the need to consider the role of racism and other structural, social, and economic factors when designing interventions to reduce opioid-related overdose deaths.

Take-Home Naloxone Program Implementation: Lessons Learned From Seven Chicago-Area Hospitals.

Despite consensus recommendations from the American College of Emergency Physicians (ACEP), the Centers for Disease Control and Prevention, and the surgeon general to dispense naloxone to discharged ED patients at risk for opioid overdose, there remain numerous logistic, financial, and administrative barriers to implementing "take-home naloxone" programs at individual hospitals. This article describes the recent collective experience of 7 Chicago-area hospitals in implementing take-home naloxone programs. We highlight key barriers, such as hesitancy from hospital administrators, lack of familiarity with relevant rules and regulations in regard to medication dispensing, and inability to secure a supply of naloxone for dispensing. We also highlight common facilitators of success, such as early identification of a "C-suite" champion and the formation of a multidisciplinary team of program leaders. Finally, we provide recommendations that will assist emergency departments planning to implement their own take-home naloxone programs and will inform policymakers of specific needs that may facilitate dissemination of naloxone to the public.

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.

BACKGROUND: Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, but they remain inadequate at ensuring perfect PHI removal. As an alternative to relying on de-identification systems, we propose the following solutions: (1) Mapping the corpus of documents to standardized medical vocabulary (concept unique identifier [CUI] codes mapped from the Unified Medical Language System) thus eliminating PHI as inputs to a machine learning model; and (2) training character-based machine learning models that obviate the need for a dictionary containing input words/n-grams. We aim to test the performance of models with and without PHI in a use-case for an opioid misuse classifier. METHODS: An observational cohort sampled from adult hospital inpatient encounters at a health system between 2007 and 2017. A case-control stratified sampling (n = 1000) was performed to build an annotated dataset for a reference standard of cases and non-cases of opioid misuse. Models for training and testing included CUI codes, character-based, and n-gram features. Models applied were machine learning with neural network and logistic regression as well as expert consensus with a rule-based model for opioid misuse. The area under the receiver operating characteristic curves (AUROC) were compared between models for discrimination. The Hosmer-Lemeshow test and visual plots measured model fit and calibration. RESULTS: Machine learning models with CUI codes performed similarly to n-gram models with PHI. The top performing models with AUROCs > 0.90 included CUI codes as inputs to a convolutional neural network, max pooling network, and logistic regression model. The top calibrated models with the best model fit were the CUI-based convolutional neural network and max pooling network. The top weighted CUI codes in logistic regression has the related terms 'Heroin' and 'Victim of abuse'. CONCLUSIONS: We demonstrate good test characteristics for an opioid misuse computable phenotype that is void of any PHI and performs similarly to models that use PHI. Herein we share a PHI-free, trained opioid misuse classifier for other researchers and health systems to use and benchmark to overcome privacy and security concerns.

Health Care Utilization of Opioid Overdose Decedents with No Opioid Analgesic Prescription History.

Opioid overprescribing is a major driver of the current opioid overdose epidemic. However, annual opioid prescribing in the USA dropped from 782 to 640 morphine milligram equivalents per capita between 2010 and 2015, while opioid overdose deaths increased by 63%. To better understand the role of prescription opioids and health care utilization prior to opioid-related overdose, we analyzed the death records of decedents who died of an opioid overdose in Illinois in 2016 and linked to any existing controlled substance monitoring program (CSMP) and emergency department (ED) or hospital discharge records. We found that of the 1893 opioid-related overdoses, 573 (30.2%) decedents had not filled an opioid analgesic prescription within the 6 years prior to death. Decedents without an opioid prescription were more likely to be black (33.3% vs 20.2%, p < .001), Hispanic (16.3% vs 8.8%, p < .001), and Chicago residents (46.8% vs 25.6%, p < .001) than decedents with at least one filled opioid prescription. Decedents who did not fill an opioid prescription were less likely to die of an overdose involving prescribed opioids (7.3% vs 19.5%, p < .001) and more likely to fatally overdose on heroin (63% vs 50.4%, p < .001) or fentanyl/fentanyl analogues (50.3% vs 41.8%, p = .001). Between 2012 and the time of death, decedents without an opioid prescription had fewer emergency department admissions (2.5 ± 4.2 vs 10.6 ± 15.8, p < .001), were less likely to receive an opioid use disorder diagnosis (41.3% vs 47.5%, p = .052), and were less likely to be prescribed buprenorphine for opioid use disorder treatment (3.3% vs 8.6%, p < .001). Public health interventions have often focused on opioid prescribing and the use of CSMPs as the core preventive measures to address the opioid crisis. We identified a subset of individuals in Illinois who may not be impacted by such interventions. Additional research is needed to understand what strategies may be successful among high-risk populations that have limited opioid analgesic prescription history and low health care utilization.

Helping Patients With ESRD and Earlier Stages of CKD to Quit Smoking.

Among the many adverse effects of tobacco exposure is the increased risk for progression of kidney disease. Individuals with chronic kidney disease (CKD), who already face increased cardiovascular event rates compared to the general population, are at even greater risk if they smoke. Despite these risks and the increased focus on smoking cessation in the general population in recent years, national guidelines have not specifically targeted individuals with CKD. There are similarly sparse data specific to individuals with CKD regarding the safety and efficacy of evidence-based smoking cessation modalities. This review aims to identify the risks of nicotine dependence in individuals with CKD and the potential benefits of smoking cessation; discuss current strategies for smoking cessation, including behavioral and pharmacologic therapies such as varenicline; and extrapolate these interventions to the unique challenges of this population. Much of the data presented stem from evidence for the general population but are described with additional consideration in dosing of nicotine replacement therapy, as well as non-nicotine pharmacotherapy and treatment modality for individuals with CKD.

Family Planning in Substance Use Disorder Treatment Centers: Opportunities and Challenges.

BACKGROUND: Alcohol, tobacco, and drug use during pregnancy can cause a range of adverse birth outcomes. Promoting family planning among women with substance use disorders (SUD) can help reduce substance exposed pregnancies. OBJECTIVES: We conducted qualitative research to determine the acceptability and feasibility of offering family planning education and services SUD treatment centers. METHODS: Focus groups and in-depth interviews were conducted with clients, staff and medical providers at three treatment centers. Interviews were transcribed and data was analyzed using a flexible coding scheme. RESULTS: Clients reported being interested in family planning services while they were in treatment. Most preferred to receive these services onsite. Providers also felt that services should be received onsite, though cited several barriers to implementation, including time constraints and staff levels of comfort with the subject. CONCLUSIONS/IMPORTANCE: Women in SUD treatment are open to the integration of family planning services into treatment. Treatment centers have the opportunity to serve as models of client-centered health homes that offer a variety of educational, preventive, and medical services for women in both treatment and recovery.

Medication-assisted treatment for substance use disorders within a national community health center research network.

BACKGROUND: The Affordable Care Act increases access to treatment services for people who suffer from substance use disorders (SUDs), including alcohol use disorders (AUDs) and opioid use disorders (OUDs). This increased access to treatment has broad implications for delivering health services and creates a dramatic need for transformation in clinical care, service lines, and collaborative care models. Medication-assisted treatments (MAT) are effective for helping SUD patients reach better outcomes. This article uses electronic health record (EHR) data to examine the prevalence of EHR-documented SUDs, patient characteristics, and patterns of MAT prescribing and screening for patients within the Community Health Applied Research Network (CHARN), a national network of 17 community health centers that facilitates patient-centered outcomes research among underserved populations. METHODS: Hierarchical generalized linear models examined patient characteristics, SUD occurrence rates, MAT prescription, and human immunodeficiency virus (HIV) and hepatitis virus C screening for patients with AUDs or OUDs. Results: Among 572,582 CHARN adult patients, 16,947 (3.0%) had a documented AUD diagnosis and 6,080 (1.1%) an OUD diagnosis. Alcohol MAT prescriptions were documented for 547 AUD patients (3.2%) and opioid MAT for 1,764 OUD patients (29.0%). Among OUD patients, opioid MAT was significantly associated with HIV screening (odds ratio [OR] = 1.31, P < .001) in OUD patients, as was alcohol MAT among AUD patients (OR = 1.30, P = .013). CONCLUSIONS: These findings suggest that effective opioid and alcohol MAT may be substantially underprescribed among safety-net patients identified as having OUDs or AUDs.

Contraceptive use and method choice among women with opioid and other substance use disorders: A systematic review.

AIM: To systematically review the literature on contraceptive use by women with opioid and other substance use disorders in order to estimate overall contraceptive use and to examine method choice given the alarmingly high rate of unintended pregnancy in this population. METHOD: Pubmed (1948-2014) and PsycINFO (1806-2014) databases were searched for peer-reviewed journal articles using a systematic search strategy. Only articles published in English and reporting contraceptive use within samples of women with opioid and other substance use disorders were eligible for inclusion. RESULTS: Out of 580 abstracts reviewed, 105 articles were given a full-text review, and 24 studies met the inclusion criteria. The majority (51%) of women in these studies reported using opioids, with much smaller percentages reporting alcohol and cocaine use. Across studies, contraceptive prevalence ranged widely, from 6%-77%, with a median of 55%. Results from a small subset of studies (N=6) suggest that women with opioid and other substance use disorders used contraception less often than non-drug-using comparison populations (56% vs. 81%, respectively). Regarding method choice, condoms were the most prevalent method, accounting for a median of 62% of contraceptives used, while use of more effective methods, especially implants and intrauterine devices (IUDs), was far less prevalent 8%. CONCLUSIONS: Women with opioid and other substance use disorders have an unmet need for contraception, especially for the most effective methods. Offering contraception services in conjunction with substance use treatment and promoting use of more effective methods could help meet this need and reduce unintended pregnancy in this population.

How Should Harm Reduction Be Included in Care Continua for Patients With Opioid Use Disorder?

Practices and interventions that aim to slow progression or reduce negative consequences of substance use are harm reduction strategies. Often described as a form of tertiary prevention, harm reduction is key to caring well for people who use drugs. Evidence-based harm reduction interventions include naloxone and syringe service programs. Improving equitable outcomes for those with opioid use disorder (OUD) requires access to the continuum of evidence-based OUD care, including harm reduction interventions, as well as dismantling policies that undermine mental health and substance use disorder treatment continuity, housing stability, and education and employment opportunities.