Prescription opioid use increases resource utilization following ventral hernia repair.

BACKGROUND: Previous studies showed that preoperative opioid use is associated with increased postoperative opioid use and surgical site infection (SSI) in patients undergoing ventral hernia repair (VHR). Orthopedic surgery literature cites increased resource utilization with opioid use. This study aimed to determine the effect of preoperative opioid use on resource utilization after open VHR. METHODS: A retrospective institutional review board-approved study of VHRs from a single tertiary care practice between 2013 and 2020 was performed. Medical records, the National Surgical Quality Improvement Program database, and Kentucky All Schedule Prescription Electronic Reporting data were reviewed for patient demographics, comorbidities, dispensed opiate prescriptions, hernia characteristics, and outcomes. Univariate logistic regression analyses assessed the effect of each patient's demographic and clinical characteristics. Multivariate logistic regression models analyzed significant factors from the univariate analyses. The primary outcome was resource utilization measured as readmission, emergency department visit, or >2 postoperative clinic visits within 45 days after VHR. RESULTS: Overall, 381 patients who underwent VHR were identified; of which 101 patients had preoperative dispensed opioids. Multivariate analysis demonstrated that patient gender at birth, any new-onset SSI, and any preoperative opioid use were associated with increased postoperative resource utilization (odds ratio, 1.76; P = .026). CONCLUSION: Preoperative opioid use was determined as a risk factor that increased resource utilization after open VHR. An understanding of the drivers of the increased use of resources is essential in developing strategies to improve healthcare value. Future research will focus on strategies to reduce the utilization of resources among patients who use opioids.

Characterization of peer support services for substance use disorders in 11 US emergency departments in 2020: findings from a NIDA clinical trials network site selection process.

INTRODUCTION: Emergency departments (ED) are incorporating Peer Support Specialists (PSSs) to help with patient care for substance use disorders (SUDs). Despite rapid growth in this area, little is published regarding workflow, expectations of the peer role, and core components of the PSS intervention. This study describes these elements in a national sample of ED-based peer support intervention programs. METHODS: A survey was conducted to assess PSS site characteristics as part of site selection process for a National Institute on Drug Abuse (NIDA) Clinical Trials Network (CTN) evaluating PSS effectiveness, Surveys were distributed to clinical sites affiliated with the 16 CTN nodes. Surveys were completed by a representative(s) of the site and collected data on the PSS role in the ED including details regarding funding and certification, services rendered, role in medications for opioid use disorder (MOUD) and naloxone distribution, and factors impacting implementation and maintenance of ED PSS programs. Quantitative data was summarized with descriptive statistics. Free-text fields were analyzed using qualitative content analysis. RESULTS: A total of 11 surveys were completed, collected from 9 different states. ED PSS funding was from grants (55%), hospital funds (46%), peer recovery organizations (27%) or other (18%). Funding was anticipated to continue for a mean of 16 months (range 12 to 36 months). The majority of programs provided "general recovery support (81%) Screening, Brief Intervention, and Referral to Treatment (SBIRT) services (55%), and assisted with naloxone distribution to ED patients (64%). A minority assisted with ED-initiated buprenorphine (EDIB) programs (27%). Most (91%) provided services to patients after they were discharged from the ED. Barriers to implementation included lack of outpatient referral sources, barriers to initiating MOUD, stigma at the clinician and system level, and lack of ongoing PSS availability due to short-term grant funding. CONCLUSIONS: The majority of ED-based PSSs were funded through time-limited grants, and short-term grant funding was identified as a barrier for ED PSS programs. There was consistency among sites in the involvement of PSSs in facilitation of transitions of SUD care, coordination of follow-up after ED discharge, and PSS involvement in naloxone distribution.

Patient and pharmacist perspectives on opioid misuse screening and brief interventions in community pharmacies.

BACKGROUND: Pharmacy-based screening and brief interventions (SBI) offer opportunities to identify opioid misuse and opioid safety risks and provide brief interventions that do not overly burden pharmacists. Currently, such interventions are being developed without patient input and in-depth contextual data and insufficient translation into practice. The purpose of this study is to qualitatively explore and compare patient and pharmacist perceptions and needs regarding a pharmacy-based opioid misuse SBI and to identify relevant SBI features and future implementation strategies. METHODS: Using the Consolidated Framework for Implementation Research, we conducted semi-structured interviews with 8 patients and 11 pharmacists, to explore needs and barriers to participating in a pharmacy-based SBI. We recruited a purposive sample of English-speaking patients prescribed opioids for chronic or acute pain and pharmacists practicing in varied pharmacies (small independent, large-chain, specialty retail) settings. We used an inductive content analysis approach to analyze patient interview data. Then through a template analysis approach involving comparison of pharmacist and patient themes, we developed strategies for SBI implementation. RESULTS: Most patient participants were white, older, described living in suburban areas, and were long-term opioid users. We identified template themes related to individual, interpersonal, intervention, and implementation factors and inferred applications for SBI design or potential SBI implementation strategies. We found that patients needed education on opioid safety and general opioid use, regardless of opioid use behaviors. Pharmacists described needing patient-centered training, protocols, and scripts to provide SBI. A short-self-reported screening and brief interventions including counseling, naloxone, and involving prescribers were discussed by both groups. CONCLUSIONS: Through this implementation-focused qualitative study, we identified patient needs such as opioid safety education delivered in a private and convenient format and pharmacist needs including training, workflow integration, protocols, and a time-efficient intervention for effective pharmacy-based SBI. Alternate formats of SBI using digital health technologies may be needed for effective implementation. Our findings can be used to develop patient-centered pharmacy-based SBI that can be implemented within actual pharmacy practice.

The relationship between felt stigma and non-fatal overdose among rural people who use drugs.

BACKGROUND: Drug overdose deaths in the United States exceeded 100,000 in 2021 and 2022. Substance use stigma is a major barrier to treatment and harm reduction utilization and is a priority target in ending the overdose epidemic. However, little is known about the relationship between stigma and overdose, especially in rural areas. We aimed to characterize the association between felt stigma and non-fatal overdose in a multi-state sample of rural-dwelling people who use drugs. METHODS: Between January 2018 and March 2020, 2,608 people reporting past 30-day opioid use were recruited via modified chain-referral sampling in rural areas across 10 states. Participants completed a computer-assisted survey of substance use and substance-related attitudes, behaviors, and experiences. We used multivariable logistic regression with generalized estimating equations to test the association between felt stigma and recent non-fatal overdose. RESULTS: 6.6% of participants (n = 173) reported an overdose in the past 30 days. Recent non-fatal overdose was significantly associated with felt stigma after adjusting for demographic and substance use-related covariates (aOR: 1.47, 95% CI: 1.20-1.81). The association remained significant in sensitivity analyses on component fear of enacted stigma items (aOR: 1.48, 95% CI: 1.20-1.83) and an internalized stigma item (aOR: 1.51, 95% CI: 1.07-2.14). CONCLUSIONS: Felt stigma related to substance use is associated with higher risk of non-fatal overdose in rural-dwelling people who use drugs. Stigma reduction interventions and tailored services for those experiencing high stigma are underutilized approaches that may mitigate overdose risk.

Non-scheduled short-acting opioid to taper off opioids?

This commentary discusses the issues related to the current pharmacotherapy using super long-acting opioids (for the potential convenience for both patients and medical providers) for opioid addiction and argues for the potential to use a non-scheduled short-acting opioid to taper off opioids to reduce total number of patients on opioids and ultimately reduce opioid-related death. This article also proposes to develop short-acting opioids for addiction management instead of the current long-acting regimen. The authors further suggest that dezocine, a previously FDA approved medication for perioperative pain management and a non-scheduled opioid, be brought back to clinical practice in the US as a potential alternative addiction management medication, especially for those who are highly motivated to quit opioids completely using a taper off strategy.

Weaning buprenorphine in pregnant patients.

OBJECTIVE: Evaluate maternal and neonatal outcomes after buprenorphine wean compared to patients maintained on buprenorphine throughout pregnancy. METHODS: Prospective cohort study of pregnant patients with opioid use disorder enrolled in a multidisciplinary treatment program between 2015 and 2022. All patients were offered Medications to treat Opioid Use Disorder (MOUD) primarily with buprenorphine. Patients had at least 2 prenatal visits and negative urine drug tests (UDT) prior to weaning. The experimental group underwent a buprenorphine wean greater than 20% of their baseline dose. The control group was maintained on buprenorphine throughout the pregnancy. Relapse was defined as patient reported use or positive UDT during weekly assessments. Mass spectrophotometer was used for detection of drugs in samples. Fisher's exact tests were used to compare outcomes in weaned and control groups. RESULTS: 334 of 456 (73%) patients were treated with buprenorphine during pregnancy, with 39 in the experimental group and 295 in the control group. The mean dose for buprenorphine was similar between the groups (wean: 10.6 mg ± 5.6 vs. control: 10.3 mg ± 4.6, p = 0.76) but was significantly lower at delivery (wean: 4.4 ± 4.6 mg vs. control: 13.0 ± 4.7, p < 0.0001). Mean gestational age at initiation of the buprenorphine wean was 22.7 weeks. 10 of 39 (26%) who weaned were able to completely discontinue buprenorphine prior to delivery. Demographic data was similar between the groups, including overdose history. Overdose history at time of enrollment had a higher trend in the non-weaning group. neonatal opioid withdrawal syndrome (NOWS) treatment was significantly lower in the wean group (23 vs. 47%, p = 0.006), as was highest Finnegan score (9.6 ± 4.5 vs. 12.3 ± 4.0, p = 0.0003). Birthweight percentile was significantly higher in the wean group (44.3 ± 29.9 vs. 34.8 ± 24.4, p = 0.03). Gestational age at delivery, mode of delivery, and complications (HTN, DM, preterm labor, or short cervix) at delivery did not significantly differ between the groups. CONCLUSION: Despite counseling to stay on buprenorphine, there are patients who desire to wean. The NOWS rate in the weaned cohort was significantly lower than the controls with no observed increase in maternal or neonatal morbidity. There were no maternal overdoses or deaths during the pregnancy. Larger studies are needed to evaluate this approach.

Strengthening Protocols for Rapid Response to Disruptions in Access to Prescription Opioids: Considerations for State and Territorial Health Agencies.

Prescription opioid disruptions pose a danger and lead to adverse health outcomes for patients taking prescription opioids for pain or medication for opioid use disorder. State and territorial health agencies are uniquely positioned to respond to disruptions and potentially prevent risks associated with service disruptions. Responding to disruptions in access to prescription opioids necessitates a multifaceted, collaborative approach that prioritizes care continuity and patient well-being. State and territorial health agencies may benefit from developing and exercising a formal response protocol that outlines roles and activities during these types of events, strengthening capacity to rapidly respond and serve patient needs.

Development of Opioid Use Disorder After Breast Reconstruction: Effects of Nicotine Exposure.

INTRODUCTION: After undergoing breast reconstructive surgery, patients are typically prescribed opioids. Smoking tobacco increases rate of opioid metabolism and is associated with development of opioid use disorder (OUD). The aim of this study was to determine whether patients who smoke have an increased risk of OUD after breast reconstructive surgery. Given that OUD is a known risk factor for injection drug use and intravenous drug use increases risk of acquiring blood-borne diseases including human immunodeficiency virus (HIV) and hepatitis, the secondary aim was to determine if these patients are also at increased risk of acquiring these communicable diseases associated with OUD. METHODS: A retrospective analysis was conducted using TriNetX, a multi-institutional deidentified database. Individuals included underwent a breast reconstructive surgery and received postoperative opioid treatment. The exposed group included patients who smoke. The control group did not smoke. Risk of developing OUD, hepatitis B virus (HBV), hepatitis C virus (HCV), and HIV from 12 to 36 months after surgery was compared between groups. Patients with preexisting OUD or associated diseases were excluded. Cohorts were matched to control for confounding factors including age, sex, race, mental health history, and concomitant substance use. RESULTS: There were 8648 patients included in the analysis. After matching, 4324 patients comprised the exposure group, and 4324 patients remained in the control group. Preoperative smoking was significantly associated with increased risk of OUD at 12, 24, and 36 months after breast reconstruction (36 months: odds ratio [OR], 2.722; confidence interval [CI], 2.268-6.375). Smoking was also associated with increased risk of HIV and HCV at all time points after surgery (36 months HIV: OR, 2.614; CI, 1.977-3.458; 36 months HCV: OR, 3.718; CI, 2.268-6.375) and increased risk of HBV beginning at 24 months after surgery (36 months HBV: OR, 2.722; CI, 1.502-4.935). CONCLUSIONS: Individuals who smoke have an increased risk of developing OUD, HIV, HCV, and HBV after breast reconstructive surgery. This risk persists for at least 3 years after surgery. Additional research and clinical interventions focusing on early identification of OUD, prevention efforts, and harm reduction strategies for patients who smoke or have nicotine dependence undergoing breast reconstruction are warranted.

Motivation and context of concurrent stimulant and opioid use among persons who use drugs in the rural United States: a multi-site qualitative inquiry.

BACKGROUND: In recent years, stimulant use has increased among persons who use opioids in the rural U.S., leading to high rates of overdose and death. We sought to understand motivations and contexts for stimulant use among persons who use opioids in a large, geographically diverse sample of persons who use drugs (PWUD) in the rural settings. METHODS: We conducted semi-structured individual interviews with PWUD at 8 U.S. sites spanning 10 states and 65 counties. Content areas included general substance use, injection drug use, changes in drug use, and harm reduction practices. We used an iterative open-coding process to comprehensively itemize and categorize content shared by participants related to concurrent use. RESULTS: We interviewed 349 PWUD (64% male, mean age 36). Of those discussing current use of stimulants in the context of opioid use (n = 137, 39%), the stimulant most used was methamphetamine (78%) followed by cocaine/crack (26%). Motivations for co-use included: 1) change in drug markets and cost considerations; 2) recreational goals, e.g., seeking stronger effects after heightened opioid tolerance; 3) practical goals, such as a desire to balance or alleviate the effects of the other drug, including the use of stimulants to avoid/reverse opioid overdose, and/or control symptoms of opioid withdrawal; and 4) functional goals, such as being simultaneously energized and pain-free in order to remain productive for employment. CONCLUSION: In a rural U.S. cohort of PWUD, use of both stimulants and opioids was highly prevalent. Reasons for dual use found in the rural context compared to urban studies included changes in drug availability, functional/productivity goals, and the use of methamphetamine to offset opioid overdose. Education efforts and harm reduction services and treatment, such as access to naloxone, fentanyl test strips, and accessible drug treatment for combined opioid and stimulant use, are urgently needed in the rural U.S. to reduce overdose and other adverse outcomes.

Public Health Interventions and Overdose-Related Outcomes Among Persons With Opioid Use Disorder.

Importance: Given the high number of opioid overdose deaths in the US and the complex epidemiology of opioid use disorder (OUD), systems models can serve as a tool to identify opportunities for public health interventions. Objective: To estimate the projected 3-year association between public health interventions and opioid overdose-related outcomes among persons with OUD. Design, Setting, and Participants: This decision analytical model used a simulation model of the estimated US population aged 12 years and older with OUD that was developed and analyzed between January 2019 and December 2023. The model was parameterized and calibrated using 2019 to 2020 data and used to estimate the relative change in outcomes associated with simulated public health interventions implemented between 2021 and 2023. Main Outcomes and Measures: Projected OUD and medications for OUD (MOUD) prevalence in 2023 and number of nonfatal and fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. Results: In a baseline scenario assuming parameters calibrated using 2019 to 2020 data remained constant, the model projected more than 16 million persons with OUD not receiving MOUD treatment and nearly 1.7 million persons receiving MOUD treatment in 2023. Additionally, the model projected over 5 million nonfatal and over 145 000 fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. When simulating combinations of interventions that involved reducing overdose rates by 50%, the model projected decreases of up to 35.2% in nonfatal and 36.6% in fatal opioid-involved overdoses among persons with OUD. Interventions specific to persons with OUD not currently receiving MOUD treatment demonstrated the greatest reduction in numbers of nonfatal and fatal overdoses. Combinations of interventions that increased MOUD initiation and decreased OUD recurrence were projected to reduce OUD prevalence by up to 23.4%, increase MOUD prevalence by up to 137.1%, and reduce nonfatal and fatal opioid-involved overdoses among persons with OUD by 6.7% and 3.5%, respectively. Conclusions and Relevance: In this decision analytical model study of persons with OUD, findings suggested that expansion of evidence-based interventions that directly reduce the risk of overdose fatality among persons with OUD, such as through harm reduction efforts, could engender the highest reductions in fatal overdoses in the short-term. Interventions aimed at increasing MOUD initiation and retention of persons in treatment projected considerable improvement in MOUD and OUD prevalence but could require a longer time horizon for substantial reductions in opioid-involved overdoses.

Untreated Opioid Use Disorder and Health-Related Quality of Life Among Syringe Service Program Clients.

This cross-sectional study explores health-related quality of life (HRQoL) and the challenges to physical, emotional, and social functioning among individuals with opioid use disorder.

County-level factors associated with a mismatch between opioid overdose mortality and availability of opioid treatment facilities.

BACKGROUND: Opioid overdose deaths in the United States remain a major public health crisis. Little is known about counties with high rates of opioid overdose mortality but low availability of opioid use disorder (OUD) treatment facilities. We sought to identify characteristics of United States (US) counties with high rates of opioid overdose mortality and low rates of opioid treatment facilities. METHODS: Rates of overdose mortality from 3,130 US counties were compared with availability of opioid treatment facilities that prescribed or allowed medications for OUD (MOUD), from 2018-2019. The outcome variable, "risk-availability mismatch" county, was a binary indicator of a high rate (above national average) of opioid overdose mortality with a low (below national average) rate of opioid treatment facilities. Covariates of interest included county-level sociodemographics and rates of insurance, unemployment, educational attainment, poverty, urbanicity, opioid prescribing, depression, heart disease, Gini index, and Theil index. Multilevel logistic regression, accounting for the clustering of counties within states, was used to determine associations with being a "risk-availability mismatch" county. RESULTS: Of 3,130 counties, 1,203 (38.4%) had high rates of opioid overdose mortality. A total of 1,098 counties (35.1%) lacked a publicly-available opioid treatment facility in 2019. In the adjusted model, counties with an additional 1% of: white residents (odds ratio, OR, 1.02; 95% CI, 1.01-1.03), unemployment (OR, 1.11; 95% CI, 1.05-1.19), and residents without insurance (OR, 1.04; 95% CI, 1.01-1.08) had increased odds of being a mismatch county. Counties that were metropolitan (versus non-metropolitan) had an increased odds of being a mismatch county (OR, 1.85; 95% CI, 1.45-2.38). CONCLUSION: Assessing mismatch between treatment availability and need provides useful information to characterize counties that require greater public health investment. Interventions to reduce overdose mortality are unlikely to be effective if they do not take into account diverse upstream factors, including sociodemographics, disease burden, and geographic context of communities.