Naloxone Prescribing Research Articles

Buprenorphine and naloxone access in pharmacies within high overdose areas of Los Angeles during the COVID-19 pandemic

BackgroundBuprenorphine and naloxone are first-line medications for people who use opioids (PWUO). Buprenorphine can reduce opioid use and cravings, help withdrawal symptoms, and reduce risk of opioid overdose. Naloxone is a life-saving medication that can be administered to reverse an opioid overdose. Despite the utility of these medications, PWUO face barriers to access these medications. Downtown Los Angeles has high rates, and number, of opioid overdoses which could potentially be reduced by increasing distribution of naloxone and buprenorphine. This study aimed to determine the accessibility of these medications in a major urban city by surveying community pharmacies regarding availability of buprenorphine and naloxone, and ability to dispense naloxone without a prescription.MethodsPharmacies were identified in the Los Angeles downtown area by internet search and consultation with clinicians. Phone calls were made to pharmacies at two separate time points–September 2020 and March 2021 to ask about availability of buprenorphine and naloxone. Results were collected and analyzed to determine percentage of pharmacies that had buprenorphine and/or naloxone in stock, and were able to dispense naloxone without a prescription.ResultsOut of the 14 pharmacies identified in the downtown LA zip codes, 13 (92.9%) were able to be reached at either time point. The zip code with one of the highest rates of opioid-related overdose deaths did not have any pharmacies in the area. Most of the pharmacies were chain stores (69.2%). Eight of the 13 (61.5%) pharmacies were stocked and prepared to dispense buprenorphine upon receiving a prescription, and an equivalent number was prepared to dispense naloxone upon patient request, even without a naloxone prescription. All of the independent pharmacies did not have either buprenorphine or naloxone available.ConclusionsThere is a large gap in care for pharmacies in high overdose urban zip codes to provide access to medications for PWUO. Unavailability of medication at the pharmacy-level may impede PWUO ability to start or maintain pharmacotherapy treatment. Pharmacies should be incentivized to stock buprenorphine and naloxone and encourage training of pharmacists in harm reduction practices for people who use opioids.

EE9 Real-World Naloxone Prescription Trends, Costs, and Comorbidities in Commercial, Managed Medicare, and Medicaid Patients in the United States (2016-2019)

CDC recommends naloxone co-prescribing for at-risk prescription opioid patients. A large US healthcare claims database was analyzed to assess the prescription naloxone patient trends and other characteristics.

EE398 Cost-Utility Analysis of Academic Detailing Outreach on Naloxone Prescribing for Patients at Risk of Opioid-Related Overdose or Death

To evaluate the cost-effectiveness of academic detailing outreach on naloxone prescribing among patients at-risk for an opioid-related overdose or death.

Effect of Innovative Opioid Risk-Reduction Curriculum for Resident Physicians on the Frequency of Resident Naloxone Prescription

Brief curricular intervention has been shown to improve naloxone prescription rates, and demonstrate improved knowledge among internal medicine residents.

Toward Safer Opioid Prescribing in HIV care (TOWER): a mixed-methods, cluster-randomized trial

BackgroundThe 2016 U.S. Centers for Disease Control Opioid Prescribing Guideline (CDC Guideline) is currently being revised amid concern that it may be harmful to people with chronic pain on long-term opioid therapy (CP-LTOT). However, a methodology to faithfully implement the CDC guideline, measure prescriber adherence, and systematically test its effect on patient and public health outcomes is lacking. We developed and tested a CDC Guideline implementation strategy (termed TOWER), focusing on an outpatient HIV-focused primary care setting.MethodsTOWER was developed in a stakeholder-engaged, multi-step iterative process within an Information, Motivation and Behavioral Skills (IMB) framework of behavior change. TOWER consists of: 1) a patient-facing opioid management app (OM-App); 2) a progress note template (OM-Note) to guide the office visit; and 3) a primary care provider (PCP) training. TOWER was evaluated in a 9-month, randomized-controlled trial of HIV-PCPs (N = 11) and their patients with HIV and CP-LTOT (N = 40). The primary outcome was CDC Guideline adherence based on electronic health record (EHR) documentation and measured by the validated Safer Opioid Prescribing Evaluation Tool (SOPET). Qualitative data including one-on-one PCP interviews were collected. We also piloted patient-reported outcome measures (PROMs) reflective of domains identified as important by stakeholders (pain intensity and function; mood; substance use; medication use and adherence; relationship with provider; stigma and discrimination).ResultsPCPs randomized to TOWER were 48% more CDC Guideline adherent (p < 0.0001) with significant improvements in use of: non-pharmacologic treatments, functional treatment goals, opioid agreements, prescription drug monitoring programs (PDMPs), opioid benefit/harm assessment, and naloxone prescribing. Qualitative data demonstrated high levels of confidence in conducting these care processes among intervention providers, and that OM-Note supported these efforts while experience with OM-App was mixed. There were no intervention-associated safety concerns (defined as worsening of any of the PROMs).ConclusionsCDC-guideline adherence can be promoted and measured, and is not associated with worsening of outcomes for people with HIV receiving LTOT for CP. Future work would be needed to document scalability of these results and to determine whether CDC-guideline adherence results in a positive effect on public health.Trial registrationhttps://clinicaltrials.gov/ct2/show/NCT03669939. Registration date: 9/13/2018

Physician-approved protocols increase naloxone dispensing rates.

To measure the impact of the implementation of a law that allows pharmacists to provide naloxone under a physician-approved protocol on naloxone dispensing rates in an all-payer population across the United States. Prescription claims from a national grocery chain for 31 states and Area Heath Resource File were used for this retrospective study. The study sample included all patients who filled at least one naloxone prescription during the study period from July 16, 2014 to January 16, 2017. A stepwise autoregression was performed for 30 consecutive months to evaluate the change in naloxone prescription dispensing rate. The primary independent variable was "implementation of the physician-approved protocol." The primary outcome measure was the rate of naloxone prescriptions dispensed per month per state. Secondary outcome measures were naloxone dispensing rates by each payer. Number of patients who received naloxone prescriptions in the states with physician-approved protocol was 423% higher compared to states without the protocol. The overall model showed that the naloxone dispensing rate was 6 times higher in the states with a physician-approved protocol. In the payer-based models, comparing states with and without protocol, the dispensing rate was highest for Medicare (9.0 times) followed by Private (4.6 times), Medicaid (3.2 times), and Cash (3.1 times). The number of prescriptions dispensed in the low-employment states with the protocol was 17.59 times higher compared to states without the protocol. Implementation of physician-approved protocol was strongly associated with an increase in naloxone dispensing rates, especially in the low-employment states.

Evaluating disparities in prescribing of naloxone after emergency department treatment of opioid overdose

IntroductionPatients who initially survive opioid-related overdose are at high risk for subsequent mortality. Our health system aimed to evaluate the presence of disparities in prescribing naloxone following opioid overdose. MethodsThis was a retrospective cohort study of patients seen in our health system, which comprises two academic centers and eight community hospitals. Eligible patients had at least one visit to any of our hospital's emergency departments (EDs) with a diagnosis code indicating opioid-related overdose between May 1, 2018, and April 30, 2021. The primary outcome measure was prescription of nasal naloxone after at least one visit for opioid-related overdose during the study period. ResultsThe health system had 1348 unique patients who presented 1593 times to at least one of the EDs with opioid overdose. Of included patients, 580 (43.2%) received one or more prescriptions for naloxone. The majority (68.9%, n = 925) were male. For race/ethnicity, 74.5% (1000) were Non-Hispanic White, 8.0% (n = 108) were Non-Hispanic Black, and 13.0% (n = 175) were Hispanic/Latinx. Compared with the reference age group of 16–24 years, only those 65+ were less likely to receive naloxone (adjusted odds ratio [aOR] 0.41, 95% confidence interval [CI] 0.20–0.84). The study found no difference for gender (male aOR 1.23, 95% CI 0.97–1.57 compared to female). Hispanic/Latinx patients were more likely to receive a prescription when compared to Non-Hispanic White patients (aOR 1.72, 95% CI 1.22–2.44), while no difference occurred between Non-Hispanic Black compared to Non-Hispanic White patients (aOR 1.31, 95% CI 0.87–1.98). ConclusionsNaloxone prescribing after overdose in our system was suboptimal, with fewer than half of patients with an overdose diagnosis code receiving this lifesaving and evidence-based intervention. Patients who were Hispanic/Latinx were more likely to receive naloxone than other race and ethnicity groups, and patients who were older were less likely to receive it. Health systems need ongoing equity-informed implementation of programs to expand access to naloxone to all patients at risk.

Assessment of a Naloxone Coprescribing Alert for Patients at Risk of Opioid Overdose: A Quality Improvement Project.

Patients taking high doses of opioids, or taking opioids in combination with other central nervous system depressants, are at increased risk of opioid overdose. Coprescribing the opioid-reversal agent naloxone is an essential safety measure, recommended by the surgeon general, but the rate of naloxone coprescribing is low. Therefore, we set out to determine whether a targeted clinical decision support alert could increase the rate of naloxone coprescribing. We conducted a before-after study from January 2019 to April 2021 at a large academic health system in the Southeast. We developed a targeted point of care decision support notification in the electronic health record to suggest ordering naloxone for patients who have a high risk of opioid overdose based on a high morphine equivalent daily dose (MEDD) ≥90 mg, concomitant benzodiazepine prescription, or a history of opioid use disorder or opioid overdose. We measured the rate of outpatient naloxone prescribing as our primary measure. A multivariable logistic regression model with robust variance to adjust for prescriptions within the same prescriber was implemented to estimate the association between alerts and naloxone coprescribing. The baseline naloxone coprescribing rate in 2019 was 0.28 (95% confidence interval [CI], 0.24-0.31) naloxone prescriptions per 100 opioid prescriptions. After alert implementation, the naloxone coprescribing rate increased to 4.51 (95% CI, 4.33-4.68) naloxone prescriptions per 100 opioid prescriptions (P < .001). The adjusted odds of naloxone coprescribing after alert implementation were approximately 28 times those during the baseline period (95% CI, 15-52). A targeted decision support alert for patients at risk for opioid overdose significantly increased the rate of naloxone coprescribing and was relatively easy to build.

Improving access to care via psychiatric clinical pharmacist practitioner collaborative management of buprenorphine for opioid use disorder

BackgroundAs the death toll continues to rise in the opioid overdose epidemic, increasing access to medications for opioid use disorder (OUD), such as buprenorphine, is vital. Psychiatric clinical pharmacist practitioners (CPPs) can help bridge the gap in care but are limited in their ability to prescribe buprenorphine given federal restrictions. ObjectiveThis study aimed to describe a pharmacist-psychiatrist collaborative practice designed to increase access to buprenorphine for OUD in rural communities by maximizing the CPP role. Practice descriptionA CPP operating under a scope of practice with prescriptive authority to manage substance use disorders (SUDs) and comorbid mental health conditions was hired in June of 2020 at a rural Veterans Affairs (VA) hospital in Tomah, Wisconsin. Practice innovationA collaborative agreement with X-waivered psychiatrists was established to manage buprenorphine for patients with OUD. Evaluation methodsA retrospective chart review was conducted on all patients with an OUD diagnosis from July 1, 2020, to October 31, 2021, to assess the use of medications for OUD, comorbid psychiatric, and SUD diagnoses; active naloxone prescription; and CPP involvement in care. For patients prescribed buprenorphine, their average wait time to initiation appointment was calculated in days and compared before and after CPP implementation. ResultsAs of October 31, 2021, there were 60 patients with OUD cared for by the Tomah VA, of whom 28 received buprenorphine comanaged with the CPP. On average, those requesting urgent access appointment for buprenorphine assessment from the CPP were seen for same-day induction appointments compared with historically an average of a 6.1 day wait for outpatient appointments and 5.8 days for scheduled inpatient inductions. ConclusionCollaborative approaches to buprenorphine management with a CPP improve access to care. Although collaboration decreases time burden for X-waivered psychiatrists, care could be more efficient and timely if a CPP could independently induct, stabilize, and manage patients on buprenorphine.

Naloxone prescribing practices in the Military Health System before and after policy implementation.

Despite public health campaigns, policies, and educational programs, naloxone prescription rates among people receiving opioids remains low. In June 2018, the U.S. Military Health System (MHS) released 2 policies to improve naloxone prescribing. The objective of this study was to examine whether the policies resulted in increased naloxone coprescription rates for patients who met the criteria for 1 or more risk indicators (eg, long-term opioid therapy, benzodiazepine coprescription, morphine equivalent daily dose ≥50 mg, and elevated overdose risk score) at the time of opioid dispense. Prescription and risk indicator data from January 2017 to February 2021 were extracted from the MHS Data Repository. Naloxone coprescription rates from January 2017 to September 2018 were used to forecast prescribing rates from October 2018 to February 2021 overall and across risk indicators. Forecasted rates were compared with actual rates using Bayesian time series analyses. The probability of receiving a naloxone coprescription was higher for patients whose opioid prescriber and pharmacy were both within military treatment facilities vs both within the purchased-care network. Bayesian time series results indicated that the number of patients who met the criteria for any risk indicator decreased throughout the study period. Naloxone prescribing rates increased across the study period from <1% to 20% and did not significantly differ from the forecasted rates across any and each risk indicator (adjusted P values all >0.05). Future analyses are needed to better understand naloxone prescribing practices and the impact of improvements to electronic health records, decision support tools, and policies.

Naloxone Dispensing in Patients at Risk for Opioid Overdose After Total Knee Arthroplasty Within the Veterans Health Administration.

Naloxone prescribing among patients undergoing surgery is not well described. This cohort study was designed to examine patients' risk factors for opioid overdose and their association with naloxone prescribing among veterans undergoing total knee arthroplasty (TKA) after a systemwide Overdose Education and Naloxone Distribution (OEND) initiative. A retrospective analysis of Veterans Health Administration (VHA) records was performed and consisted of 38,011 veterans undergoing primary TKA from 2013 to 2016. Patient overdose risk was determined using a validated risk index for overdose or serious opioid-induced respiratory depression (RIOSORD) based on patient diagnoses, health care utilization, and prescription drug use. Naloxone dispensing was examined from the year before surgery until 7 days after discharge. These rates were examined the year prior to implementation of a national OEND initiative (2013), the year of implementation (2014), and 2 years following implementation (2015-2016). In 2013, 3.3% of patients presenting for TKA had moderate or high risk for overdose and none were prescribed naloxone. By 2016, after OEND implementation, 2.2% of patients presenting for TKA had moderate or high risk for overdose, but only 10.9% of the moderate-risk and 12.7% of the high-risk patients were prescribed naloxone. Patients presenting for TKA routinely have risk factors for opioid overdose and significant proportions are at moderate or high risk for overdose. Despite this, most patients at moderate and high risk do not receive perioperative naloxone. Risk mitigation strategies using validated tools such as RIOSORD may help identify surgical patients at greatest risk for opioid overdose who could benefit from OEND.

Comparison of virtual to in-person academic detailing on naloxone prescribing rates at three U.S. Veterans Health Administration regional networks

IntroductionAcademic detailing, an educational outreach that promotes evidence-based practices to improve the quality of care for patients, has primarily been delivered using one-on-one in-person interactions. In 2018, the U.S. Department of Veterans Affairs (VA) Pharmacy Benefits Management implemented a pilot virtual academic detailing program to increase naloxone prescribing among veterans at risk for opioid overdose or death. The aim of this evaluation was to compare virtual and in-person academic detailing on naloxone prescribing rates at VA. MethodsA retrospective quasi-experimental pretest-posttest non-equivalent groups design was used to compare virtual academic detailing and in-person academic detailing on naloxone prescribing rates 12 months before and after providers received a naloxone-specific encounter at three VA regional networks between January 1, 2018 to May 31, 2020. Subgroup analysis was performed on rural providers. Generalized estimating equation models were constructed to compare the difference in naloxone prescribing rates before and after receiving virtual or in-person academic detailing controlling for provider-level characteristics. ResultsProviders who received virtual (N = 67) or in-person (N = 186) academic detailing had significant increases in naloxone prescribing, but the differences in the naloxone rates between the groups were not statistically significant (difference in changes in naloxone rates=+0.63; 95% CI: −2.23, 3.48). Similar findings were reported for rural providers. DiscussionProviders who received naloxone-related in-person or virtual academic detailing had increased naloxone prescribing rates; however, there were no differences between the two types of modalities. Virtual academic detailing is a viable alternative for delivering academic detailing and allows academic detailers to expand their reach to rural providers.

Naloxone Co-Dispensing with Opioids: a Cluster Randomized Pragmatic Trial.

Although naloxone prevents opioid overdose deaths, few patients prescribed opioids receive naloxone, limiting its effectiveness in real-world settings. Barriers to naloxone prescribing include concerns that naloxone could increase risk behavior and limited time to provide necessary patient education. To determine whether pharmacy-based naloxone co-dispensing affected opioid risk behavior. Secondary objectives were to assess if co-dispensing increased naloxone acquisition, increased patient knowledge about naloxone administration, and affected opioid dose and other substance use. Cluster randomized pragmatic trial of naloxone co-dispensing. Safety-net health system in Denver, Colorado, between 2017 and 2020. Seven pharmacies were randomized. Pharmacy patients (N=768) receiving opioids were followed using automated data for 10 months. Pharmacy patients were also invited to complete surveys at baseline, 4 months, and 8 months; 325 survey participants were enrolled from November 15, 2017, to January 8, 2019. Intervention pharmacies implemented workflows to co-dispense naloxone while usual care pharmacies provided usual services. Survey instruments assessed opioid risk behavior; hazardous drinking; tobacco, cannabis, and other drug use; and knowledge. Naloxone dispensings and opioid dose were evaluated using pharmacy data among pharmacy patients and survey participants. Intention-to-treat analyses were conducted using generalized linear mixed models accounting for clustering at the pharmacy level. Opioid risk behavior did not differ by trial group (P=0.52; 8-month vs. baseline adjusted risk ratio [ARR] 1.07; 95% CI 0.78, 1.47). Compared with usual care pharmacies, naloxone dispensings were higher in intervention pharmacies (ARR 3.38; 95% CI 2.21, 5.15) and participant knowledge increased (P=0.02; 8-month vs. baseline adjusted mean difference 1.05; 95% CI 0.06, 2.04). There was no difference in other substance use by the trial group. Co-dispensing naloxone with opioids effectively increased naloxone receipt and knowledge but did not increase self-reported risk behavior. Registered at ClinicalTrials.gov ; Identifier: NCT03337100.

Patients discharged after opioid overdose may not always get prescriptions for naloxone or buprenorphine

Patients discharged after opioid overdose may not always get prescriptions for naloxone or buprenorphine

ESCV/PASCV Membership

Academic detailing, an educational outreach that promotes evidence-based practices to improve the quality of care for patients, has primarily been delivered using one-on-one in-person interactions. In 2018, the U.S. Department of Veterans Affairs (VA) Pharmacy Benefits Management implemented a pilot virtual academic detailing program to increase naloxone prescribing among veterans at risk for opioid overdose or death. The aim of this evaluation was to compare virtual and in-person academic detailing on naloxone prescribing rates at VA.A retrospective quasi-experimental pretest-posttest non-equivalent groups design was used to compare virtual academic detailing and in-person academic detailing on naloxone prescribing rates 12 months before and after providers received a naloxone-specific encounter at three VA regional networks between January 1, 2018 to May 31, 2020. Subgroup analysis was performed on rural providers. Generalized estimating equation models were constructed to compare the difference in naloxone prescribing rates before and after receiving virtual or in-person academic detailing controlling for provider-level characteristics.Providers who received virtual (N = 67) or in-person (N = 186) academic detailing had significant increases in naloxone prescribing, but the differences in the naloxone rates between the groups were not statistically significant (difference in changes in naloxone rates=+0.63; 95% CI: −2.23, 3.48). Similar findings were reported for rural providers.Providers who received naloxone-related in-person or virtual academic detailing had increased naloxone prescribing rates; however, there were no differences between the two types of modalities. Virtual academic detailing is a viable alternative for delivering academic detailing and allows academic detailers to expand their reach to rural providers.

The impact of access to addiction specialist on attitudes, beliefs and hospital-based opioid use disorder related care: A survey of hospitalist physicians

Background Hospitalizations for complications related to opioid use disorder (OUD) are increasing. Hospitalists care for most hospitalized patients in the United States, yet little is known about their attitudes, beliefs, and clinical practices regarding OUD-related care. Methods: We distributed an online survey to hospitalists in the United States to measure how access to addiction specialists affected attitudes and beliefs regarding hospital-based OUD care, OUD screening practices, naloxone prescribing, and buprenorphine initiation. Results: Among 262 respondents, 67.9% (n = 178) reported having access to addiction specialists. While 84.5% (n = 221) reported often or always caring for patients with OUD, 48.2% (n = 126) rarely or never screened for OUD, 57.1% (n = 149) rarely or never prescribed or recommended naloxone as harm reduction, and 88.9% (n = 233) rarely or never initiated buprenorphine. In multivariable analyses, compared to hospitalists without access to addiction specialists, hospitalist with access to addiction specialists were more likely to feel supported to screen and refer patients to treatment (aOR = 4.4, 95% CI 2.1 − 9.1; ρ < 0.001), to be aware of local treatment resources (aOR = 3.4, 95% CI 1.8 − 6.3; ρ < 0.001), and refer patients to treatment (aOR = 3.0, 95% CI 1.7 − 5.6; ρ < 0.001). Conclusions: Many hospitalists do not provide life-saving treatment to patients with OUD. Access to addiction specialists may increase provision of OUD-related care by hospitalists.

The role of managed care pharmacy in coprescribing naloxone for patients with specific risk: recommendations from the AMCP Addiction Advisory Group.

Prescription opioid misuse remains a significant cause of morbidity and mortality associated with drug overdose. Researchers, government agencies, public health interests, and professional organizations support the benefits of naloxone coprescribing for patients on chronic opioid therapy to prevent deaths from opioid overdose. However, gaps remain in the provision of naloxone to patients at risk. Currently, less than 1% of patients who should be prescribed naloxone with their opioid medications obtain a prescription for naloxone, illustrating an opportunity for health care providers to conduct thorough risk assessments for patients taking opioids and coprescribing naloxone to those at risk. There are documented barriers to the provision of naloxone for primary care providers, pharmacists, and patients. Managed care organizations have also created barriers. To better understand and evaluate trends in treatment, coverage, policies, and needs associated with providing health services to patients with substance use disorders, the Academy of Managed Care Pharmacy (AMCP) Addiction Advisory Group conducted a survey in 2019. Eighty percent of the managed behavioral health organizations and 47% of AMCP payer members who responded to the survey encouraged naloxone coprescribing in patients at high risk of overdose; however, no organizations require coprescribing. Health plans, managed care organizations, prescribers, pharmacists, patients, and others have important roles in decreasing the morbidity and mortality associated with opioid overdose. In particular, managed care organizations can take specific and meaningful actions to implement payment policies that improve naloxone coprescribing for patients at risk. In this article, opportunities have been outlined for managed care leadership that actively support public health policies for naloxone coprescribing, and 7 recommendations are presented. DISCLOSURES: The AMCP Addiction Advisory Group and the development of this article were supported by Alkermes and Precision Toxicology. Sponsors participated in the advisory group, which provided guidance in the development of the manuscript. Dharbhamalla is employed by AMCP. Skelton is a paid consultant working with AMCP.

Associations Between Copays, Coverage Limits for Naloxone, and Prescribing in Medicaid.

Aims:To describe naloxone dispensing in Medicaid fee-for-service (FFS) and examine relationships between copays and coverage limits for naloxone and its dispensing rates.Methods:Cross-sectional study using Medicaid FFS State Drug Utilization Data to quantify the use of naloxone in 2018. The primary outcomes of this study were the proportion of naloxone prescriptions relative to all prescriptions and all opioid prescriptions dispensed in each state. We obtained drug benefit design information from the Medicaid Behavioral Health Services Database. The primary analysis examined the influence of copays (yes/no), copay amounts, and coverage limits on medication dispensing using simple linear regression, excluding states with no measurable use or less than 5% Medicaid FFS.Results:We found substantial variability across 50 states and DC in the proportion of prescriptions dispensed for Narcan and generic naloxone. We found a positive relationship between copay and copay amount and dispensing of generic naloxone. However, a sensitivity analysis including the broadest possible cohort of states failed to confirm this relationship. We found no other relationships between copays or coverage limits and dispensing of any naloxone formulation.Conclusions:Substantial variation exists between the rates of naloxone dispensing across the US for Medicaid patients, but we did not find a meaningful relationship between plan design and dispensing. Whether drug benefit designs in Medicaid influence naloxone use requires further evaluation to avoid limiting access to this life-saving medication.

State naloxone co-prescribing laws show mixed effects on overdose mortality rates

Objective To examine the relative changes in opioid overdose mortality rates between states that have and have not adopted naloxone co-prescribing laws. Methods We performed a synthetic control analysis. National Vital Statistics data for the years 2012–2018 were analysed, and five states with naloxone co-prescribing laws were examined: Arizona, Florida, Rhode Island, Vermont, and Virginia. Opioid overdose-related deaths were identified through cause-of-death ICD-10 codes. Results Our pooled analysis for all opioid-related deaths showed no significant changes in opioid-related mortality rates in treated states, post naloxone co-prescribing law adoption (−0.05; 95% CI: −0.43, 0.33). Rates of other and unspecified narcotic-related mortality rates in Rhode Island were found to have decreased post-law adoption (−0.13; 95% CI: −0.25, −0.00). Conclusions These findings suggest that naloxone co-prescribing laws were not associated with changes to overall opioid overdose mortality rates, post-law adoption, during the study period. However, Rhode Island did see a decrease in other and unspecified narcotic-related mortality rates post-law adoption. This is perhaps due to the comprehensive nature of the state's law. As overall rates of naloxone co-prescribing remain low, interventions to enhance naloxone prescribing and distribution may be necessary for co-prescribing laws to impact opioid-related mortality rates.

Limited access to pharmacy-based naloxone in West Virginia: Results from a statewide purchase trial

BackgroundWest Virginia (WV) has the highest overdose mortality rate in the United States and expanding naloxone access is crucial for reducing opioid overdose deaths. We conducted a purchase trial to establish an objective measure of naloxone access under WV’s naloxone standing order (NSO) program. MethodsA stratified random sample of 200 chain and independent retail pharmacies across WV were included. Each pharmacy underwent two purchase attempts—one by a person who used illicit opioids (PWUIO) and one by a potential bystander who did not use illicit opioids but had a relationship with a PWUIO. We used matched-pairs analysis to identify differences in outcomes by purchaser type (PWUIO vs bystander). Chi-square and independent-samples t-tests were used to compare outcomes by pharmacy type (chain vs independent). ResultsOverall, 29% of purchase attempts were successful, with no significant difference between PWUIO and bystanders (p = 0.798). Fewer than half (44%) of successful purchases included verbal counseling, and bystanders were more likely to receive counseling than PWUIO (33% vs 4%, p = 0.018). Common reasons for failed purchases were naloxone not being in stock (41%), requiring a naloxone prescription (35%), and/or requiring formal identification (23%). Chain pharmacies were more likely to sell naloxone than independents (35% vs 19%, p = 0.001). ConclusionsWe documented limited naloxone access under the WV NSO. These findings indicate that simply establishing an NSO program is insufficient to expand access. Implementation efforts should ensure adequate naloxone stocks, pro-active delivery of NSO-related information and pharmacist training, and avoidance of recordkeeping requirements that may impede access.