Evaluation of a Medicaid performance improvement project to reduce high-dose opioid prescriptions.

BACKGROUND: In 2015, Oregon's Medicaid program implemented a performance improvement project to reduce high-dose opioid prescribing across its 16 coordinated care organizations (CCOs). The objective of this study was to evaluate the effect of that program on prescription opioid use and outcomes. METHODS: Using Medicaid claims data from 2014 to 2017, we conducted interrupted time-series analyses to examine changes in the prescription opioid use and overdose rates before (July 2014 to June 2015) and after (January 2016 to December 2017) implementation of Oregon's high-dose policy initiative (July 2015 to December 2015). Prescribing outcomes were: 1) total opioid prescriptions 2) high-dose [> 90 morphine milligram equivalents per day] opioid prescriptions, and 3) proportion of opioid prescriptions that were high-dose. Opioid overdose outcomes included emergency department visits or hospitalizations that involved an opioid-related poisoning (total, heroin-involved, non-heroin involved). Analyses were performed at the state and CCO level. RESULTS: There was an immediate reduction in high dose opioid prescriptions after the program was implemented (- 1.55 prescription per 1000 enrollee; 95% CI - 2.26 to - 0.84; p < 0.01). Program implementation was also associated with an immediate drop (- 1.29 percentage points; 95% CI - 1.94 to - 0.64 percentage points; p < 0.01) and trend reduction (- 0.23 percentage point per month; 95% CI - 0.33 to - 0.14 percentage points; p < 0.01) in the monthly proportion of high-dose opioid prescriptions. The trend in total, heroin-involved, and non-heroin overdose rates increased significantly following implementation of the program. CONCLUSIONS: Although Oregon's high-dose opioid performance improvement project was associated with declines in high-dose opioid prescriptions, rates of opioid overdose did not decrease. Policy efforts to reduce opioid prescribing risks may not be sufficient to address the growing opioid crisis.

"It wasn't here, and now it is. It's everywhere": fentanyl's rising presence in Oregon's drug supply.

BACKGROUND: Illicit fentanyl has contributed to a drastic increase in overdose drug deaths. While fentanyl has subsumed the drug supply in the Northeastern and Midwestern USA, it has more recently reached the Western USA. For this study, we explored perspectives of people who use drugs (PWUD) on the changing drug supply in Oregon, experiences of and response to fentanyl-involved overdose, and recommendations from PWUD to reduce overdose risk within the context of illicit fentanyl's dramatic increase in the recreational drug supply over the past decade. METHODS: We conducted in-depth interviews by phone with 34 PWUD in Oregon from May to June of 2021. We used thematic analysis to analyze transcripts and construct themes. RESULTS: PWUD knew about fentanyl, expressed concern about fentanyl pills, and were aware of other illicit drugs containing fentanyl. Participants were aware of the increased risk of an overdose but remained reluctant to engage with professional first responders due to fear of arrest. Participants had recommendations for reducing fentanyl overdose risk, including increasing access to information, harm reduction supplies (e.g., naloxone, fentanyl test strips), and medications for opioid use disorder; establishing drug checking services and overdose prevention sites; legalizing and regulating the drug supply; and reducing stigma enacted by healthcare providers. CONCLUSION: PWUD in Oregon are aware of the rise of fentanyl and fentanyl pills and desire access to tools to reduce harm from fentanyl. As states in the Western USA face an inflection point of fentanyl in the drug supply, public health staff, behavioral health providers, and first responders can take action identified by the needs of PWUD.

Study protocol for the Respond to Prevent Study: a multi-state randomized controlled trial to improve provision of naloxone, buprenorphine and nonprescription syringes in community pharmacies.

Access to the opioid antidote naloxone is a critical component of addressing the opioid crisis. Naloxone is a population-level prevention intervention associated with substantial reductions in overdose mortality and reduction of nonfatal overdose. Pharmacies' pivotal role in dispensing medications like buprenorphine for the treatment of opioid use disorder and selling nonprescription syringes places them at the crossroads of opioid access and risk mitigation methods like naloxone provision. Testing ways to optimize pharmacy-based naloxone provision will be key as the country expands the implementation of naloxone through the medical system. In the Respond to Prevent Study, we conducted a large, practical study of a pharmacy-focused intervention in a sample of Washington, Oregon, Massachusetts and New Hampshire community chain pharmacies to increase naloxone dispensing and improve opioid safety. The intervention integrated two evidence-based educational toolkits and streamlined materials to enhance the focus on naloxone policy, stigma reduction, and patient communications around naloxone, nonprescription syringes and buprenorphine access. The real-world study implemented a stepped wedge, clustered randomized trial design across 175 community chain pharmacies to evaluate the effectiveness of the Respond to Prevent intervention in increasing: (a) pharmacy based naloxone distribution rates, naloxone-related patient engagement, and pharmacist and technicians' attitudes, knowledge, perceived behavioral control and self-efficacy toward naloxone; and (b) pharmacy nonprescription syringe sales, and pharmacist and technicians' attitudes, knowledge, perceived behavioral control and self-efficacy toward dispensing buprenorphine for opioid use disorder (secondary outcomes). This commentary provides a brief narrative about the study and presents insights on the design and adaptations to our study protocol, including those adopted during the unprecedented COVID-19 pandemic further compounded by Western wildfires in 2020.

Harm Reduction and Adaptations Among PWUD in Rural Oregon During COVID-19.

Coronavirus Disease 2019 (COVID-19) may influence HIV/HCV transmission risk behaviors in rural communities. We conducted semi-structured qualitative interviews with people who use drugs (PWUD) in five rural Oregon counties and asked about COVID-19 impact on substance use and harm reduction practices and their advice for improving public health responses. Participants (n = 36) reported using only methamphetamine (52.8%), only heroin (16.7%), or both (30.6%); 75% of participants reported recent injection. Three thematic categories emerged: SSP adaptations and accessibility, PWUD harm reduction practices, and policy suggestions. Participants noted the importance of SSPs to COVID-19 prevention and wellbeing, though some experienced increased barriers, leading to increased risky injection practices. Participants suggested need-based rather than one-for-one exchange, increasing syringe delivery services, encouraging secondary exchange by PWUD, and peers as trusted voices for information exchange. Rapid implementation of policy and practice changes are urgently required to improve SSP access, reinforce safer use, and prevent HIV/HCV and COVID-19 transmission.

Identifying opioid dose reductions and discontinuation among patients with chronic opioid therapy.

PURPOSE: To identify and systematically categorize opioid dose reductions and discontinuations in large administrative datasets. METHODS: Using a dataset of Oregon Medicaid beneficiaries linked with prescription drug monitoring program (PDMP) data between 2014 and 2017, we identified patients with high-dose chronic opioid therapy (COT), ≥84 consecutive days with an average daily MME of ≥50 on each of those days. We categorized patients into four mutually exclusive groups based on the trajectory of opioid use in the year after COT: abrupt discontinuation, dose reduction and discontinuation, dose reduction without discontinuation, and stable or increasing dose. Finally, we examined prescription patterns in each category. RESULTS: Among individuals with high-dose COT, 7636 (37.1%) had an abrupt discontinuation, 2577 (12.5%) had a dose reduction and discontinuation, 7739 (37.6%) had a dose reduction without discontinuation, and 2623 (12.8%) had a stable or increasing dose in the year following the COT episode. Among those who discontinued opioid use (n = 10 213, 49.6%), three in four (74.8%) did so without evidence of tapering. Patients who discontinued opioid use were younger, had higher daily MME during COT, and were more likely to have filled a benzodiazepine or had a multiple provider or multiple pharmacy episode compared to patients who did not discontinue opioid use. CONCLUSIONS: Dose reductions and discontinuations after a COT episode can be identified in large administrative datasets. Those with a discontinuation were more likely to have riskier prescription profiles during their COT episode.

Prescription Opioid Dispensing Patterns Prior to Heroin Overdose in a State Medicaid Program: a Case-Control Study.

BACKGROUND: A large proportion of individuals who use heroin report initiating opioid use with prescription opioids. However, patterns of prescription opioid use preceding heroin-related overdose have not been described. OBJECTIVE: To describe prescription opioid use in the year preceding heroin overdose. DESIGN: Case-control study comparing prescription opioid use with a heroin-involved overdose, non-heroin-involved opioid overdose, and non-overdose controls from 2015 to 2017. PARTICIPANTS: Oregon Medicaid beneficiaries with linked administrative claims, vital statistics, and prescription drug monitoring program data. MAIN MEASURES: Opioid, benzodiazepine, and other central nervous system depressant prescriptions preceding overdose; among individuals with one or more opioid prescription, we assessed morphine milligram equivalents per day, overlapping prescriptions, prescriptions from multiple prescribers, long-term use, and discontinuation of long-term use. KEY RESULTS: We identified 1458 heroin-involved overdoses (191 fatal) and 2050 non-heroin-involved opioid overdoses (266 fatal). In the 365 days prior to their overdose, 45% of individuals with a heroin-involved overdose received at least one prescribed opioid compared with 78% of individuals who experienced a non-heroin-involved opioid overdose (p < 0.001). For both heroin- and non-heroin-involved overdose cases, the likelihood of receiving an opioid increased with age. Among heroin overdose cases with an opioid dispensed, the rate of multiple pharmacy use was the only high-risk opioid pattern that was greater than non-overdose controls (adjusted odds ratio 3.2; 95% confidence interval 1.48 to 6.95). Discontinuation of long-term opioid use was not common prior to heroin overdose and not higher than discontinuation rates among non-overdose controls. CONCLUSIONS: Although individuals with a heroin-involved overdose were less likely to receive prescribed opioids in the year preceding their overdose relative to non-heroin opioid overdose cases, prescription opioid use was relatively common and increased with age. Discontinuation of long-term prescription opioid use was not associated with heroin-involved overdose.

A comparison of trends in opioid dispensing patterns between Medicaid pharmacy claims and prescription drug monitoring program data.

PURPOSE: Public and private payers have implemented benefit limitations to reduce high-risk opioid prescriptions. The effect of these policies on the increase of out-pocket payment is unclear. To understand this gap, we compared the discrepancies in trends between opioid prescription fills vs claims among Medicaid beneficiaries. METHODS: Data from the Oregon Prescription Drug Monitoring Program (PDMP) and Oregon Medicaid administrative claims were used to identify Medicaid beneficiaries 18 years and older enrolled at least one full month from 2015 to 2017. Generalized linear models assessed the trends in the monthly rates of opioid PDMP prescription fills and pharmacy claims per 1000 eligible members. Rates by morphine equivalent dose (MED) tier (<50, 50-89, 90-120, >120 MED) and co-prescribed opioid and benzodiazepine were also assessed. RESULTS: During the study period, an average of 495 355 Medicaid members had 2 797 054 opioid PDMP fills and 2 472 155 opioid Medicaid pharmacy claims. Study participants had 15.4 (95% confidence interval [CI] 13.6 to 17.0; P < .001) more prescriptions per 1000 member per month in the PDMP data (114.1 [SD 7.4]) compared with the Medicaid claims data (98.7 [SD 7.9]). Similarly, there were 1.9 more co-occurring opioid/benzodiazepine prescriptions per 1000 members per month observed in the PDMP data than the Medicaid claims data (95% CI 1.7 to 2.1; P < .001). At each MED tier, the PDMP fills were consistently higher than the claims (P < .001). CONCLUSIONS: Higher rate of fills in the PDMP compared to pharmacy claims suggests that there may be an increasing trend of out-of-pocket payment among Medicaid beneficiaries.

Physician Responses to Enhanced Prescription Drug Monitoring Program Profiles.

OBJECTIVE: Many states have begun implementing enhancements to PDMP patient profiles such as summaries or graphics to highlight issues of concern and enhance comprehension. The purpose of this study was to examine how physicians respond to sample enhanced PDMP profiles based on patient vignettes. DESIGN: Brief semistructured interviews with physicians. SETTING: Three national medical conferences for targeted specialties. SUBJECTS: Ninety-three physicians practicing in primary care, emergency medicine, or pain management. METHODS: We presented participants with one of three patient vignettes with corresponding standard and enhanced PDMP profiles and conducted brief interviews. RESULTS: Findings indicated that enhanced profiles could increase ease of comprehension, reduce time burden, and aid in communicating with patients about opioid risks. Physicians also expressed concern about liability for prescribing when the enhanced profile indicates risk and cautioned against any implication that risk warnings should override clinical judgment based on the patient's complete medical history or presenting condition. Physicians emphasized the need for transparency of measures and evidence of validation of risk scores. We found little indication that enhanced profiles would change opioid prescribing decisions, though decisions varied by physician. CONCLUSIONS: Our study underscores the importance of involving prescribers in developing and testing PDMP profile enhancements, as well as providing guidance in the interpretation and clinical use of enhanced profiles. Reduced time burden is an important benefit to consider as the number of states mandating PDMP use increases.

Association Between Initial Opioid Prescribing Patterns and Subsequent Long-Term Use Among Opioid-Naïve Patients: A Statewide Retrospective Cohort Study.

BACKGROUND: Long-term efficacy of opioids for non-cancer pain is unproven, but risks argue for cautious prescribing. Few data suggest how long or how much opioid can be prescribed for opioid-naïve patients without inadvertently promoting long-term use. OBJECTIVE: To examine the association between initial opioid prescribing patterns and likelihood of long-term use among opioid-naïve patients. DESIGN: Retrospective cohort study; data from Oregon resident prescriptions linked to death certificates and hospital discharges. PARTICIPANTS: Patients filling opioid prescriptions between October 1, 2012, and September 30, 2013, with no opioid fills for the previous 365 days. Subgroup analyses examined patients under age 45 who did not die in the follow-up year, excluding most cancer or palliative care patients. MAIN MEASURES: Exposure: Numbers of prescription fills and cumulative morphine milligram equivalents (MMEs) dispensed during 30 days following opioid initiation ("initiation month"). OUTCOME: Proportion of patients with six or more opioid fills during the subsequent year ("long-term users"). KEY RESULTS: There were 536,767 opioid-naïve patients who filled an opioid prescription. Of these, 26,785 (5.0 %) became long-term users. Numbers of fills and cumulative MMEs during the initiation month were associated with long-term use. Among patients under age 45 using short-acting opioids who did not die in the follow-up year, the adjusted odds ratio (OR) for long-term use among those receiving two fills versus one was 2.25 (95 % CI: 2.17, 2.33). Compared to those who received < 120 total MMEs, those who received between 400 and 799 had an OR of 2.96 (95 % CI: 2.81, 3.11). Patients initiating with long-acting opioids had a higher risk of long-term use than those initiating with short-acting drugs. CONCLUSIONS: Early opioid prescribing patterns are associated with long-term use. While patient characteristics are important, clinicians have greater control over initial prescribing. Our findings may help minimize the risk of inadvertently initiating long-term opioid use.

Research to support optimization of prescription drug monitoring programs.

PURPOSE: Research is needed to evaluate the impact of prescription drug monitoring programs (PDMPs). This paper describes research priorities for PDMPs that were initially discussed at a 2015 meeting of PDMP administrators, researchers, public health officials, and other stakeholders. METHODS: Meeting participants defined the current landscape of PDMP research and identified research gaps. Research priorities were grouped by theme. RESULTS: Prescription drug monitoring program research priorities were identified for 3 key areas: individual patient health outcomes, prescriber use and decision making, and population-level outcomes. Research areas for individual patient outcomes include examining drug-use thresholds that best predict risk for overdose or substance use disorder and unintended consequences of PDMP use. Proposed research on prescriber PDMP use include evaluating how enhancements to the content and format of PDMP reports informs clinical decision making and optimal clinician actions in response to a concerning PDMP report. Finally, research topics related to population-level outcomes include measuring the impact of PDMP policies on the incidence of substance misuse and harms and assessing the return on investment for these databases. CONCLUSIONS: The clinical, public health, and economic impacts of PDMPs must be evaluated, using both quantitative and qualitative methods. In addition to assessing patient outcomes, qualitative research should examine how clinicians use and interpret PDMP information. Research should also examine the impact of PDMP features and policies on prescriber utilization. Comparative analyses across states with differing PDMP policies should be conducted to inform best practices.

Clinicians' Use of Prescription Drug Monitoring Programs in Clinical Practice and Decision-Making.

Objectives: Little is known about clinicians' use of prescription drug monitoring program (PDMP) profiles in decision-making. The objective of this qualitative study was to understand how clinicians use, interpret, and integrate PDMP profiles with other information in making clinical decisions. Design: Qualitative interviews of clinician PDMP users. Setting: Oregon registrants in the state's PDMP. Subjects: Thirty-three clinicians practicing in primary care, emergency medicine, pain management, psychiatry, dentistry, and surgery. Methods: We conducted semistructured telephone interviews with PDMP users. A multidisciplinary team used a grounded theory approach to identify patterns of PDMP use and how PDMP profiles influence clinical decisions. Results: PDMP use varied from consistent monitoring to checking the PDMP only on suspicion of misuse, with inconsistent use reported particularly among short-term prescribers. Primary care clinicians reported less routine use with existing pain patients than with new patients. In response to worrisome PDMP profiles with new patients, participants reported declining to prescribe, except in the case of acute, verifiable conditions. Long-term prescribers reported sometimes continuing prescriptions for existing patients depending on perceived patient intent, honesty, and opioid misuse risk. Some long-term prescribers reported discharging patients from their practices due to worrisome PDMP profiles; others expressed strong ethical grounds for retaining patients but discontinuing controlled substances. Conclusion: Greater consistency is needed in use of PDMP in monitoring existing patients and in conformity to guidelines against discharging patients from practice. Research is needed to determine optimal approaches to interpreting PDMP profiles in relation to clinical judgment, patient screeners, and other information.

Preparing a prescription drug monitoring program data set for research purposes.

PURPOSE: To develop a complete and consistent prescription drug monitoring program (PDMP) data set for use by drug safety researchers in evaluating patterns of high-risk use and potential abuse of scheduled drugs. METHODS: Using publically available data references from the US Food and Drug Administration and the Centers for Disease Control and Prevention, we developed a strategic methodology to assign drug categories based on pharmaceutical class for the majority of prescriptions in the PDMP data set. We augmented data elements required to calculate morphine milligram equivalents and assigned duration of action (short-acting or long acting) properties for a majority of opioids in the data set. RESULTS: About 10% of prescriptions in the PDMP data set did not have a vendor-assigned drug category, and 20% of opioid prescriptions were missing data needed to calculate risk metrics. Using inclusive methods, 19 133 167 (>99.9%) of prescriptions in the PDMP data set were assigned a drug category. For the opioid category, augmenting data elements resulted in 10 760 669 (99.8%) having required values to calculate morphine milligram equivalents and evaluate duration of action properties. CONCLUSIONS: Drug safety researchers who require a complete and consistent PDMP data set can use the methods described here to ensure that prescriptions of interest are assigned consistent drug categories and complete opioid risk variable values. Copyright © 2016 John Wiley & Sons, Ltd.

Clinical Styles and Practice Policies: Influence on Communication with Patients Regarding Worrisome Prescription Drug Monitoring Program Data.

OBJECTIVES: Clinician communication with patients regarding worrisome findings in Prescription Drug Monitoring Programs (PDMPs) may influence patient responses and subsequent care. The authors studied the range of approaches clinicians report when communicating with patients in this situation and how practice policies and procedures may influence this communication. DESIGN: Qualitative interviews of clinician PDMP users. SETTING: Oregon registrants in the state's PDMP. SUBJECTS: Thirty-three clinicians practicing in pain management, emergency medicine, primary care, psychiatry, dentistry, and surgery. METHODS: The authors conducted semi-structured interviews via telephone with clinicians who routinely used the PDMP. A multidisciplinary team used a grounded theory approach to identify ways clinicians reported using information from the PDMP when communicating with patients, and policies that influenced that communication. RESULTS: Clinicians reported using a range of approaches for communicating about PDMP results, from openly sharing, to questioning patients without disclosing access to the PDMP, to avoiding the conversation. Clinicians also reported practice policies and procedures that influenced communication with their patients about prescribing and ongoing care, including policies that normalized use of the PDMP with all patients and those that facilitated difficult conversations by providing a rationale not to prescribe in certain circumstances. CONCLUSION: Clinicians' self-reported approaches to sharing PDMP findings and communicating prescribing decisions with patients vary and may be facilitated by appropriate practice policies. Such communication may have implications for patient engagement and alliance building. More research is needed to identify best practices and potential guidelines for effectively communicating about PDMP findings, as this may enhance health outcomes.

Using community surveys to inform the planning and implementation of environmental change strategies: participatory research in 12 Washington communities.

A number of studies have demonstrated the efficacy of environmental change strategies (ECS) in effecting community-level change on attitudes and behaviors related to underage drinking (Treno and Lee in Alcohol Res Health 26:35-40, 2002; Birckmayer et al. in J Drug Educ 34(2):121-153, 2004). Primary data collection to inform the design of these strategies, however, can be resource intensive and exceed the capacity of community stakeholders. This study describes the participatory planning and implementation of community-level surveys in 12 diverse communities in the state of Washington. These surveys were conducted through collaborations among community volunteers and evaluation experts assigned to each community. The surveys were driven by communities' prevention planning needs and interests; constructed from collections of existing, field-tested items and scales; implemented by community members; analyzed by evaluation staff; and used in the design of ECS by community-level leaders and prevention practitioners. The communities varied in the content of their surveys, in their sampling approaches and in their data collection methods. Although these surveys were not conducted using traditional rigorous population survey methodology, they were done within limited resources, and the participatory nature of these activities strengthened the communities' commitment to using their results in the planning of their environmental change strategies.

Clinician Perspectives on Referring Medicaid Back Pain Patients to Integrative and Complementary Medicine: A Qualitative Study.

Objective: To increase understanding of referral processes from primary care to integrative and complementary medicine (ICM) under an Oregon Medicaid policy that restricted opioids and expanded access to ICM for back pain patients. Methods: Four asynchronous online focus groups with 48 medical clinicians were conducted. Themes were constructed using thematic analysis. Results: Three themes were constructed related to the clinician's experience: (1) high patient receptivity to ICM, (2) difficulty finding ICM providers who accept Medicaid beneficiaries, and (3) uncertainty of the effectiveness of ICM among clinicians. Conclusions: Findings suggest that health systems expanding access to ICM for Medicaid beneficiaries may benefit from establishing and supporting linkages between clinicians and ICM providers, especially in rural areas.

A randomized controlled trial for a peer-facilitated telemedicine hepatitis c treatment intervention for people who use drugs in rural communities: study protocol for the "peer tele-HCV" study.

BACKGROUND: Hepatitis C virus (HCV) transmission is primarily driven by injection drug use, and acute HCV infection rates are increased in rural communities with substantial barriers to care. Treatment of HCV in persons who use drugs (PWUD) is cost effective, decreases high risk behaviors and HCV transmission, and achieves high rates of treatment completion and sustained viral response. Adapting HCV care delivery to utilize peer support specialists, telemedicine technology, and streamlined testing and treatment strategies can better reach rural populations living with HCV. METHODS: This is an open label, two-arm, non-blinded, randomized controlled trial designed to test the superiority of peer-facilitated and streamlined telemedicine HCV care (peer tele-HCV) compared to enhanced usual care (EUC) among PWUD in rural Oregon. In the intervention arm, peers conduct HCV screening in the community, facilitate pretreatment evaluation and linkage to telemedicine hepatitis C treatment providers, and support participants in HCV medication adherence. For participants assigned to EUC, peers facilitate pretreatment evaluation and referral to community-based treatment providers. The primary outcome is sustained virologic response at 12 weeks post treatment (SVR12). Secondary outcomes include: (1) HCV treatment initiation, (2) HCV treatment completion, (3) engagement with harm reduction resources, (4) rates of substance use, and (5) engagement in addiction treatment resources. The primary and secondary outcomes are analyzed using intention-to-treat (ITT) comparisons between telemedicine and EUC. A qualitative analysis will assess patient, peer, and clinician experiences of peer-facilitated telemedicine hepatitis C treatment. DISCUSSION: This study uses a novel peer-based telemedicine delivery model with streamlined testing protocols to improve access to HCV treatment in rural communities with high rates of injection drug use and ongoing disease transmission. We hypothesize that the peer tele-HCV model will increase treatment initiation, treatment completion, SVR12 rates, and engagement with harm reduction services compared to EUC. Trial registration This trial has been registered with ClinicalTrials.gov (clinicaltrials.gov NCT04798521).

Characteristics and health care events of patients admitted to treatment for both heroin and methamphetamine compared to patients admitted for heroin only.

INTRODUCTION: Co-occurring heroin and methamphetamine use is a growing public health problem. This study assessed the characteristics of Medicaid patients admitted to substance use disorder (SUD) treatment programs for heroin and methamphetamine use compared with patients admitted for heroin only. METHODS: The study identified patients who entered treatment for heroin and methamphetamine and those admitted for heroin only between 2014 and 2017 from the Oregon Treatment Episode Data Set linked with Medicaid enrollment, and medical and pharmacy claims. We used a cross-sectional design to compare demographics, type of treatment, and substance use characteristics between the two groups. We used logistic regression models to assess differences in the odds of opioid-related and all-cause adverse events. RESULTS: Among the 3802 study sample, 2004 (53%) were admitted for both heroin and methamphetamine use. The heroin and methamphetamine group were more likely to be younger, female, White or American Indian/Alaska Native; and had more comorbidities than patients admitted for heroin only. Patients admitted for heroin and methamphetamine treatment were less likely to receive any medication for opioid use disorder (MOUD) (56% vs 75%, p < 0.001) and received fewer days of MOUD treatment (mean 188 vs. 265 days, p < 0.001) compared to the heroin only group. The heroin and methamphetamine group were more likely to receive buprenorphine (28.1% vs 24.2%) and less likely to receive methadone (39.9% vs 62.5%). The heroin and methamphetamine group began use at a younger age, used and injected more frequently than those admitted for heroin only. Patients treated for heroin and methamphetamine had 17% lower odds of OUD-related adverse events (aOR 0.83; 95% CI 0.70-0.99) and 52% higher odds of all-cause adverse events (aOR 1.52; 95% CI 1.14-2.03) relative to the heroin only group. CONCLUSION: Patients admitted for both heroin and methamphetamine reported greater addiction severity (more frequent use, earlier onset of use, and injection use), yet less commonly received MOUD compared to those who were admitted for heroin only. These findings indicate substantial missed opportunities for MOUD treatment even among people who successfully engage with the SUD treatment system.

Patient outcomes after opioid dose reduction among patients with chronic opioid therapy.

ABSTRACT: The net effects of prescribing initiatives that encourage dose reductions are uncertain. We examined whether rapid dose reduction after high-dose chronic opioid therapy (COT) associates with suicide, overdose, or other opioid-related adverse events. This retrospective cohort study included Oregon Medicaid recipients with high-dose COT. Claims were linked with prescription data from the prescription drug monitoring program and death data from vital statistics, 2014 to 2017. Participants were placed into 4 mutually exclusive dose trajectory groups after the high-dose COT period, and Cox proportional hazard models were used to examine the effect of dose changes on patient outcomes in the following year. Of the 14,596 high-dose COT patients, 4191 (28.7%) abruptly discontinued opioid prescriptions, 1648 (11.3%) reduced opioid dose before discontinuing, 6480 (44.4%) had a dose reduction but never discontinued, and 2277 (15.6%) had a stable or increasing dose. Discontinuation, whether abrupt (adjusted hazard ratio [aHR] 3.63; 95% confidence interval [CI] 1.42-9.25) or with dose reduction (aHR 4.47, 95% CI 1.68-11.88) significantly increased risk of suicide compared with those with stable or increasing dose. By contrast, discontinuation or dose reduction reduced the risk of overdose compared with those with a stable or increasing dose (aHR 0.36-0.62, 95% CI 0.20-0.94). Patients with an abrupt discontinuation were more likely to overdose on heroin (vs. prescription opioids) than patients in other groups (P < 0.0001). Our study suggests that patients on COT require careful risk assessment and supportive interventions when considering opioid discontinuation or continuation at a high dose.

Peer Recovery Support Services Across the Continuum: In Community, Hospital, Corrections, and Treatment and Recovery Agency Settings - A Narrative Review.

In this narrative review, we outline the literature describing the history, training, certification, and role of peer recovery support specialists working with people with substance use disorders at different stages of active use and recovery. We explore the impact of peer recovery support specialists serving people in various settings, including the community, hospitals and emergency departments, jails and prisons, and treatment and recovery agencies; and describes considerations for future expansion of peer recovery support services, including supervision needs, compassion fatigue and burnout, and scope of practice. Finally, we make recommendations to support the broad implementation of peer recovery support services as a sustainable, cohesive, and replicable component of harm reduction and addiction services. We also make recommendations for research to continue to evaluate peer recovery support specialist interventions across settings and outcomes.