Barriers and facilitators for family physicians prescribing opioid agonist therapy in Saskatchewan.

OBJECTIVE: To explore barriers and facilitators for family physicians in Saskatchewan prescribing opioid agonist therapy (OAT). DESIGN: Self-administered postal survey. SETTING: Family medicine practices in Saskatchewan. PARTICIPANTS: A total of 218 Saskatchewan family physicians who were not authorized to prescribe OAT as of June 2022. MAIN OUTCOME MEASURES: Descriptive and inferential statistics of physicians' self-reported barriers to and facilitators of prescribing OAT for opioid use disorder (OUD). RESULTS: Most respondents (84.8%) had some comfort with diagnosing OUD. However, more than half (58.3%) did not feel confident or knowledgeable about prescribing OAT. Barriers to OAT prescribing included lack of time, incomplete training requirements, lack of interest, insufficient funding or support, feeling overwhelmed, and perceiving that OAT does not work and thus is not necessary. Physicians working in core neighbourhoods and those receiving fee-for-service compensation reported the least available time to prescribe OAT. Conversely, physicians working in interdisciplinary team settings had increased time for OAT prescribing compared with physicians in other settings. Having a close personal relationship with someone with OUD was correlated with increased comfort in diagnosing OUD as well as with knowledge about and confidence in prescribing OAT. Themes identified as facilitators to increasing OAT prescribing included the addition of resources and supports, increased training, more awareness about OUD and OAT, enhanced compensation, and altered prescribing regulations. CONCLUSION: Despite the presence of several real and perceived barriers limiting OAT prescribing by Saskatchewan family physicians, there are family physicians interested in providing this therapy. Increased clinical resources and support, including increased interdisciplinary practice, are actionable steps that should be considered by policy decision makers to address this issue. Additionally, increased OUD and OAT education, which includes the perspectives of those with lived experience of OUD, would help address physician confidence, knowledge, and awareness in this area.

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.

Piloting an Opioid Risk Screening Tool in Clinical Practice.

Background: Despite much research and many interventions, the opioid epidemic continues to plague the United States. According to the Centers for Disease Control and Prevention (2021), 136 people die daily from both prescription and illicit opioids. Objective: The goal of this pilot quality improvement project is to examine how the implementation of the Opioid Risk Tool (ORT) in clinical practice might impact the beliefs and attitudes of nurse practitioners (NPs) toward prescribing opioid therapy. Methods: A pre-post design was utilized. A convenience sample recruited participants from a private NP Facebook group. The intervention included a prerecorded presentation on the ORT and the use of the ORT for 8 weeks. Results: While 46 NPs completed the presurvey, only 19 NPs completed the postsurvey. Statistical results did not yield significance, but there were several significant clinical trends discovered. Conclusion: Utilizing the ORT to screen for opioid misuse risks has been shown to improve providers' confidence in opioid prescribing. ORT guides providers in discerning patient risk for developing dependence on opioids. Implications for Nursing: Screening for opioid misuse risk is feasible. ORT adds to the clinical context in deciding a course of treatment in pain management.

Examining the relationship between head trauma and opioid use disorder: A systematic review.

OBJECTIVE: To examine recent literature and determine common clinical risk factors between antecedent traumatic brain injury (TBI) and the following development of opioid misuse and provide a framework for clinical identification of at-risk subjects and evaluate potential treatment implications within this association. DESIGN: A comprehensive systematic literature search of PubMed was conducted for articles between 2000 and December 2022. Studies were included if the human participant had any head trauma exposure and any chronic opioid use or dependence. After eligibility criteria were applied, 16 studies were assessed for thematic trends. RESULTS: Opioid use disorder (OUD) risks are heightened in cohorts with head trauma exposed to opioids while in the hospital, specifically with tramadol and oxycodone. Chronic pain was the most common predictor of long-term OUD, and continuous somatic symptoms associated with the TBI can lead to long-term opioid usage. Individuals who present with coexisting psychiatric conditions pose significantly more risk associated with a higher risk of long-term opioid use. CONCLUSION: Findings indicate that therapists and clinicians must consider a risk profile for persons with TBI and follow an integrated care approach to account for mental health, prior substance misuse, presenting somatic symptoms, and current medication regimen during evaluation.

Co-delivery of HIV pre-exposure prophylaxis (PrEP) and HIV testing among publicly insured adolescents and young adults (AYA) receiving medication for opioid use disorder (MOUD).

BACKGROUND: Low rates of HIV pre-exposure prophylaxis (PrEP) prescribing contribute to the disproportionate burden of HIV in the United States. Among adolescent and young adults (AYA) with opioid use disorder, HIV testing and PrEP co-prescription rates are poorly characterized. METHODS: We performed a retrospective analysis involving deidentified data from Philadelphia's Medicaid beneficiaries ages 16-29 years who were prescribed medication for opioid use disorder (MOUD) from 2015 to 2020 and continuously Medicaid-enrolled for ≥6 months prior to that prescription. After identifying the presence of a qualifying diagnosis signifying a PrEP indication, we examined the outcome of appropriate PrEP co-prescriptions and HIV testing using generalized estimating equations (GEE) modeling. RESULTS: We identified 795 AYA Medicaid beneficiaries with 1269 qualified treatment episodes. We calculated a PrEP prescribing rate of 29.47 per 1000 person-years among AYA receiving MOUD. The HIV testing rate was 63.47 per 1000 person-years among AYA receiving MOUD. GEE modeling revealed that individuals receiving methadone were more likely (aOR=2.62, 95% CI=1.06-6.49) to receive HIV testing within 6 months after a PrEP-qualifying diagnosis compared to those receiving other MOUD medications. Those who only saw outpatient behavioral health providers were less likely (aOR=0.48, 95% CI=0.24-0.99) to have received an HIV test within 6 months after the PrEP-qualifying diagnosis compared to those receiving inpatient behavioral health services. CONCLUSIONS: Co-prescription of PrEP and HIV testing among AYA receiving MOUD was rare in this large urban publicly insured population. Interventions are needed to increase HIV prevention services for this key population of AYA at risk for HIV infection.

Integrated exercise program in opioid agonist therapy clinics and effect on psychological distress: study protocol for a randomized controlled trial (BAReAktiv).

BACKGROUND: Substance use disorder is associated with unhealthy lifestyle choices, resulting in adverse social and health consequences. People with opioid use disorder receiving opioid agonist therapy, in particular, have high morbidity and reduced quality of life. Physical activity is recommended as an adjunctive treatment for people with substance use disorder, but there is minimal evidence from randomized controlled trials on the effects of this among people with substance use disorder receiving opioid agonist therapy. METHODS: BAReAktiv is a multicentre randomized controlled trial. The study aims to recruit 324 patients receiving opioid agonist therapy (parallel groups randomized 1:1 to integrated exercise intervention or control, superiority trial). A 16-week group-based integrated exercise intervention with workouts twice a week. The exercise program consists of endurance and resistance training. The target group will be patients 18 years and older receiving opioid agonist therapy in outpatient clinics in several centers in Western Norway. The primary outcome of the study is the effect on psychological distress measured by Hopkins' symptom checklist with ten items. Secondary outcome measures include physical functioning assessed with a 4-min step test, activity level, fatigue symptoms, quality of life, and changes in inflammation markers. This study will provide improved knowledge on the effects of an integrated exercise program in opioid agonist therapy. DISCUSSION: Systematically integrating exercise programs for people receiving opioid agonist therapy could lead to a shift towards a stronger focus on health behaviors in outpatient care. Integrating exercise could benefit patient recovery and reduce disease burden. Further scale-up will be considered if the provided exercise program is safe and effective. TRIAL REGISTRATION: ClinicalTrials.gov. NCT05242848. Registered on February 16, 2022.

Fentanyl as a marker of illicit drug use in morphine-positive urine specimens from workplace drug testing.

Total morphine is an important urinary marker of heroin use but can also be present from prescriptions or poppy seed ingestion. In specimens with morphine concentrations consistent with poppy seed ingestion (<4,000 ng/mL), 6-acetylmorphine has served as an important marker of illicit drug use. However, as illicit fentanyl has become increasingly prevalent as a contaminant in the drug supply, fentanyl might be an alternative marker of illicit opioid use instead of or in combination with 6-acetylmorphine. The aim of this study was to quantify opiates, 6-acetylmorphine, fentanyl and fentanyl analogs in 504 morphine-positive (immunoassay 2,000 ng/mL cutoff) urine specimens from workplace drug testing. Almost half (43%) of morphine-positive specimens had morphine concentrations below 4,000 ng/mL, illustrating the need for markers to differentiate illicit drug use. In these specimens, fentanyl (22% co-positivity) was more prevalent than 6-acetylmorphine (12%). Co-positivity of 6-acetylmorphine and semi-synthetic opioids increased with morphine concentration, while fentanyl prevalence did not. In 110 fentanyl-positive specimens, the median norfentanyl concentration (1,520 ng/mL) was 9.6× higher than the median fentanyl concentration (159 ng/mL), illustrating the possibility of using norfentanyl as a urinary marker of fentanyl use. The only fentanyl analog identified was para-fluorofentanyl (n = 50), with results from most specimens consistent with para-fluorofentanyl contamination in illicit fentanyl. The results confirm the use of fentanyl by employees subject to workplace drug testing and highlight the potential of fentanyl and/or norfentanyl as important markers of illicit drug use.

Impact of comorbid opioid use disorder and major depressive disorder on healthcare utilization outcomes in patients with peripheral artery disease: A National Readmission Database analysis.

BACKGROUND: Prior research has demonstrated that individuals with peripheral artery disease (PAD) often have comorbid opioid use disorder (OUD) and major depressive disorder (MDD), with limited data regarding their impact on readmission outcomes, length of stay, and cost. This study aimed to investigate these healthcare utilization outcomes in patients with PAD who have comorbid OUD and MDD. METHODS: Data were obtained from the National Readmission Database from 2011 through 2018. The study population included all hospitalizations with PAD as the primary or secondary diagnosis, from which hospitalizations with OUD and MDD were extracted using appropriate ICD-9/10 diagnosis codes. Primary outcomes were 30-day and 90-day readmission, total cost, and total length of stay within the calendar year. We created hierarchical multivariable logistic regression models examining OUD with and without MDD, with a random effect for healthcare facility location. RESULTS: From 2011 to 2018, 13,265,817 weighted admissions with PAD were identified. These admissions were segmented into four categories: No OUD/No MDD (12,056,466), OUD/No MDD (323,762), No OUD/MDD (867,641), and OUD/MDD (17,948). The group with No OUD/No MDD was used as the reference group for all subsequent comparisons. Regarding 30-day and 90-day readmissions, patients with OUD/MDD had odds of 1.14 (95% CI 1.10, 1.18) and 1.09 (95% CI 1.06, 1.13), respectively. Patients with OUD/No MDD bore the highest median cost of $64,354 (IQR $30,797-137,074), and patients with OUD/MDD marked the lengthiest median stay of 6.01 days (IQR 2.01-13.30). CONCLUSION: This study found a significant association between these comorbidities and outcomes and therefore calls for targeted interventions and pain management strategies.

Delivering integrated strategies from a mobile unit to address the intertwining epidemics of HIV and addiction in people who inject drugs: the HPTN 094 randomized controlled trial protocol (the INTEGRA Study).

BACKGROUND: Persons with opioid use disorders who inject drugs (PWID) in the United States (US) face multiple and intertwining health risks. These include interference with consistent access, linkage, and retention to health care including medication for opioid use disorder (MOUD), HIV prevention using pre-exposure prophylaxis (PrEP), and testing and treatment for sexually transmitted infections (STIs). Most services, when available, including those that address substance misuse, HIV prevention, and STIs, are often provided in multiple locations that may be difficult to access, which further challenges sustained health for PWID. HPTN 094 (INTEGRA) is a study designed to test the efficacy of an integrated, "whole-person" strategy that provides integrated HIV prevention including antiretroviral therapy (ART), PrEP, MOUD, and STI testing and treatment from a mobile health delivery unit ("mobile unit") with peer navigation compared to peer navigation alone to access these services at brick and mortar locations. METHODS: HPTN 094 (INTEGRA) is a two-arm, randomized controlled trial in 5 US cities where approximately 400 PWID without HIV are assigned either to an experimental condition that delivers 26 weeks of "one-stop" integrated health services combined with peer navigation and delivered in a mobile unit or to an active control condition using peer navigation only for 26 weeks to the same set of services delivered in community settings. The primary outcomes include being alive and retained in MOUD and PrEP at 26 weeks post-randomization. Secondary outcomes measure the durability of intervention effects at 52 weeks following randomization. DISCUSSION: This trial responds to a need for evidence on using a "whole-person" strategy for delivering integrated HIV prevention and substance use treatment, while testing the use of a mobile unit that meets out-of-treatment PWID wherever they might be and links them to care systems and/or harm reduction services. Findings will be important in guiding policy for engaging PWID in HIV prevention or care, substance use treatment, and STI testing and treatment by addressing the intertwined epidemics of addiction and HIV among those who have many physical and geographic barriers to access care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04804072 . Registered on 18 March 2021.

An Assessment of the One-Month Effectiveness of Telehealth Treatment for Opioid Use Disorder Using the Brief Addiction Monitor.

OBJECTIVES: Telehealth treatment with medication for opioid use disorder (teleMOUD) was made possible with regulations following the COVID-19 pandemic that permitted prescribing buprenorphine without an in-person visit. This study evaluates the self-reported outcomes of patients treated by teleMOUD using the Brief Addiction Monitor (BAM), a 17-question tool that assesses drug use, cravings, physical and psychological health, and psychosocial factors to produce 3 subset scores: substance use, risk factors, and protective factors. METHODS: Patients treated by a teleMOUD provider group operating in >30 states were asked to complete an app-based version of BAM at enrollment and at 1 month. Patients who completed both assessments between June 2022 and March 2023 were included. RESULTS: A total of 2556 patients completed an enrollment BAM and 1447 completed both assessments. Mean number of days from baseline BAM to follow-up was 26.7 days. Changes were significantly different across most questions. The substance use subscale decreased from mean 2.6 to 0.8 (P < .001), the risk factors subscale decreased from mean 10.3 to 7.5 (P < .001), and the protective factors subscale increased from mean 14.3 to 15.0. (P < .001). Substance use and risk factor subscale changes were significant across all sex and age groups, while protective factors subscale did not improve for those <25 and >54 years. Patient reports of at least 1 day of illegal use or misuse decreased, including marijuana (28.1% vs 9.0%), cocaine/crack (3.9% vs 2.6%), and opioids (49.8% vs 10.5%). CONCLUSIONS: Among patients treated by teleMOUD who completed assessments at enrollment and 1 month, there was improvement in drug use, risk factor, and protective factor scores.

An Implementation-Focused Qualitative Exploration of Pharmacist Needs Regarding an Opioid Use Disorder Screening and Brief Intervention.

BACKGROUND: Screening and brief interventions (SBI) can help identify opioid safety risks and healthcare professionals can accordingly intervene without a significant increase in workload. Pharmacists, one of the most accessible healthcare professionals, are uniquely positioned to offer SBI. To design an effective intervention with high potential for implementation, we explored pharmacist needs and barriers regarding SBI for opioid use disorders. METHODS: Using the Consolidated Framework for Implementation Research (CFIR), we conducted 11 semi-structured 60-minute interviews with community pharmacists. We used a purposeful sample of English-speaking pharmacists practicing in varied pharmacies (small independent, large-chain, specialty-retail) and positions (managers, owners, full-time/part-time pharmacists). Transcriptions were analyzed using deductive content analysis based on CFIR constructs, followed by inductive open coding. Utilizing a theoretical framework for data collection and analysis, a diverse sample of pharmacist roles, peer debriefing, and 2 independent coders for each transcript, altogether increased the credibility and transferability of our research. Data collection and analysis continued until data saturation was achieved. RESULTS: Pharmacists described good working relationships with colleagues, organization cultures that were open to new initiatives, and believed the SBI to be compatible with their organization goals and pharmacy structure, which are facilitators for future SBI implementation. Pharmacists were motivated by improved patient outcomes, more patient interaction and clinical roles, representing facilitators at the individual level. They also described stigma toward patients, mixed need for change, and lack of knowledge regarding SBI, which are potential barriers to be addressed. Pharmacists believed that the SBI model was adaptable, not complicated, and benefits outweighed implementation costs. CONCLUSIONS: We addressed current SBI literature gaps-mainly lack of focus on implementation and contextual data, through rigorous implementation-focused qualitative research. Our exploratory findings have direct implications on future pharmacy-based SBI implementation.

Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study.

BACKGROUND: Information regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information for detecting and characterizing problematic opioid use, necessitating development of natural language processing (NLP) tools, which in turn requires reliably labeled OUD-relevant text and understanding of documentation patterns. OBJECTIVE: To inform automated NLP methods, we aimed to develop and evaluate an annotation schema for characterizing OUD and its severity, and to document patterns of OUD-relevant information within clinical notes of heterogeneous patient cohorts. METHODS: We developed an annotation schema to characterize OUD severity based on criteria from the Diagnostic and Statistical Manual of Mental Disorders, 5th edition. In total, 2 annotators reviewed clinical notes from key encounters of 100 adult patients with varied evidence of OUD, including patients with and those without chronic pain, with and without medication treatment for OUD, and a control group. We completed annotations at the sentence level. We calculated severity scores based on annotation of note text with 18 classes aligned with criteria for OUD severity and determined positive predictive values for OUD severity. RESULTS: The annotation schema contained 27 classes. We annotated 1436 sentences from 82 patients; notes of 18 patients (11 of whom were controls) contained no relevant information. Interannotator agreement was above 70% for 11 of 15 batches of reviewed notes. Severity scores for control group patients were all 0. Among noncontrol patients, the mean severity score was 5.1 (SD 3.2), indicating moderate OUD, and the positive predictive value for detecting moderate or severe OUD was 0.71. Progress notes and notes from emergency department and outpatient settings contained the most and greatest diversity of information. Substance misuse and psychiatric classes were most prevalent and highly correlated across note types with high co-occurrence across patients. CONCLUSIONS: Implementation of the annotation schema demonstrated strong potential for inferring OUD severity based on key information in a small set of clinical notes and highlighting where such information is documented. These advancements will facilitate NLP tool development to improve OUD prevention, diagnosis, and treatment.

Diagnostic profiles associated with long-term opioid therapy in active duty servicemembers.

INTRODUCTION: Over-prescription of opioids has diminished in recent years; however, certain populations remain at high risk. There is a dearth of research evaluating prescription rates using specific multimorbidity patterns. OBJECTIVE: To identify distinct clinical profiles associated with opioid prescription and evaluate their relative odds of receiving long-term opioid therapy. DESIGN: Retrospective analysis of the complete military electronic health record. We assessed demographics and 26 physiological, psychological, and pain conditions present during initial opioid prescription. Latent class analysis (LCA) identified unique clinical profiles using diagnostic data. Logistic regression measured the odds of these classes receiving long-term opioid therapy. SETTING: All electronic health data under the TRICARE network. PARTICIPANTS: All servicemembers on active duty during fiscal years 2016 through 2019 who filled at least one opioid prescription. MAIN OUTCOME MEASURES: Number and qualitative characteristics of LCA classes; odds ratios (ORs) from logistic regression. We hypothesized that LCA classes characterized by high-risk contraindications would have significantly higher odds of long-term opioid therapy. RESULTS: A total of N = 714,446 active duty servicemembers were prescribed an opioid during the study window, with 12,940 (1.8%) receiving long-term opioid therapy. LCA identified five classes: Relatively Healthy (82%); Musculoskeletal Acute Pain and Substance Use Disorders (6%); High Pain, Low Mental Health Burden (9%); Low Pain, High Mental Health Burden (2%), and Multisystem Multimorbid (1%). Logistic regression found that, compared to the Relatively Healthy reference, the Multisystem Multimorbid class, characterized by multiple opioid contraindications, had the highest odds of receiving long-term opioid therapy (OR = 9.24; p < .001; 95% confidence interval [CI]: 8.56, 9.98). CONCLUSION: Analyses demonstrated that classes with greater multimorbidity at the time of prescription, particularly co-occurring psychiatric and pain disorders, had higher likelihood of long-term opioid therapy. Overall, this study helps identify patients most at risk for long-term opioid therapy and has implications for health care policy and patient care.

Fentanyl Exposure and Detection Strategies Utilized by Clinical Trial Participants Seeking Linkage to Opioid Use Disorder Treatment at a Syringe Service Program.

INTRODUCTION: The USA continues to face a fentanyl-driven overdose epidemic. Prior research has demonstrated users of illicit opioids are concerned about fentanyl exposure and overdose, but the strategies they report using to detect fentanyl's presence lack empirical support. This study compares self-report and biologically detected fentanyl use and investigates overdose risk and risk reduction behaviors among a sample of high-risk people who use opioids. METHODS: Structured enrollment interviews conducted as part of a larger clinical trial assessed self-reported fentanyl exposure as well as strategies used to determine believed fentanyl exposure and prevent overdose among 240 participants enrolled at a Chicago, IL syringe service program. Urinalysis measured actual fentanyl exposure. RESULTS: Most participants identified as African American (66.7%) and had considerable overdose experience (76.7% lifetime and 48% in the past year). Most also tested positive for fentanyl (93.75%) despite reporting no past year use of fentanyl or fentanyl-adulterated drugs (64.17%). The most utilized approaches reported for identifying fentanyl exposure were stronger effects of the drug (60.7%), sight or taste (46.9%), and being told by someone using the same drugs (34.2%). Few participants (14%) reported using fentanyl test strips. No significant associations were identified between self-report and urinalysis measures or urinalysis results and risk reduction strategies. CONCLUSION: This study adds to prior fentanyl exposure risk research. The disconnect between participants' fentanyl detection methods and reported overdose experiences supports the need for more research to identify and understand factors driving access and use of overdose prevention resources and strategies.

Signal detection of adverse events associated with gabapentinoid use for chronic pain.

INTRODUCTION: Gabapentinoids (GABA) prescribing as a potential and conceivably safer substitute for opioids has substantially increased. Understanding all potential adverse drug events (ADEs) associated with GABA will guide clinical decision-making for pain management. METHODS: A 20% sample of Medicare enrollees with new chronic pain diagnoses in 2017-2018 was selected. GABA users were those with >=30 consecutive days prescription in a year without opioid prescription. Opioid users were similarly defined. The control group used neither of these drugs. Propensity score match across three groups based on demographics and comorbidity was performed. We used proportional reporting ratio (PRR), Gamma Poisson Shrinker, and tree-based scan statistic (TBSS) to detect ADEs within 3, 6, and 12 months of follow-up. RESULTS: Immunity disorder was detected within 3 months of follow-up by PRR compared to opioid use (PRR:2.33), and by all three methods compared to controls. Complications of transplanted organs/tissues and schizophrenia spectrum/other psychotic disorders were consistently detected by PRR and TBSS within 3 months. Skin disorders were detected by TBSS; and stroke was detected by PRR within 3 months compared to opioid use (PRR:4.74). Some malignancies were detected by PRR within 12 months. Other signals detected in GABA users were neuropathy and nerve disorders. CONCLUSIONS: Our study identified expected and unexpected ADE signals in GABA users. Neurological signals likely related to indications for GABA use. Signals for immunity, mental/behavior, and skin disorders were found in the FDA adverse event reporting system database. Unexpected signals of stroke and cancer require further confirmatory analyses to verify.

Identifying patients with opioid use disorder using International Classification of Diseases (ICD) codes: Challenges and opportunities.

BACKGROUND AND AIMS: International Classification of Diseases (ICD) diagnosis codes are often used in research to identify patients with opioid use disorder (OUD), but their accuracy for this purpose is not fully evaluated. This study describes application of ICD-10 diagnosis codes for opioid use, dependence and abuse from an electronic health record (EHR) data extraction using data from the clinics' OUD patient registries and clinician/staff EHR entries. DESIGN: Cross-sectional observational study. SETTING: Four rural primary care clinics in Washington and Idaho, USA. PARTICIPANTS: 307 patients. MEASUREMENTS: This study used three data sources from each clinic: (1) a limited dataset extracted from the EHR, (2) a clinic-based registry of patients with OUD and (3) the clinician/staff interface of the EHR (e.g. progress notes, problem list). Data source one included records with six commonly applied ICD-10 codes for opioid use, dependence and abuse: F11.10 (opioid abuse, uncomplicated), F11.20 (opioid dependence, uncomplicated), F11.21 (opioid dependence, in remission), F11.23 (opioid dependence with withdrawal), F11.90 (opioid use, unspecified, uncomplicated) and F11.99 (opioid use, unspecified with unspecified opioid-induced disorder). Care coordinators used data sources two and three to categorize each patient identified in data source one: (1) confirmed OUD diagnosis, (2) may have OUD but no confirmed OUD diagnosis, (3) chronic pain with no evidence of OUD and (4) no evidence for OUD or chronic pain. FINDINGS: F11.10, F11.21 and F11.99 were applied most frequently to patients who had clinical diagnoses of OUD (64%, 89% and 79%, respectively). F11.20, F11.23 and F11.90 were applied to patients who had a diagnostic mix of OUD and chronic pain without OUD. The four clinics applied codes inconsistently. CONCLUSIONS: Lack of uniform application of ICD diagnosis codes make it challenging to use diagnosis code data from EHR to identify a research population of persons with opioid use disorder.

Trends in Attention-Deficit Hyperactivity Disorder Diagnosis and Pharmacotherapy Among Adults With Opioid Use Disorder.

OBJECTIVE: This study aimed to assess nationwide trends in attention-deficit hyperactivity disorder (ADHD) diagnoses and pharmacotherapy among patients with opioid use disorder and ADHD and to examine factors predicting receipt of stimulant medications among patients receiving medications for opioid use disorder (MOUDs). METHODS: A claims-based database of commercially insured patients ages 13-64 was used to conduct two analyses: an annual cross-sectional study of 387,980 patients diagnosed as having opioid use disorder (2007-2017) to estimate the prevalence of ADHD diagnoses and pharmacotherapy, and a retrospective cohort study of 158,591 patients receiving MOUDs to test, with multivariable regression, the association between patient characteristics and receipt of stimulant medication. RESULTS: From 2007 to 2017, the prevalence of ADHD diagnoses increased from 4.6% to 15.1% and the rate of ADHD pharmacotherapy increased from 42.6% to 51.8% among patients with opioid use disorder. Among all patients receiving MOUDs, 10.5% received at least one prescription stimulant during the study period. Female sex; residence in the southern United States; and ADHD, mood, and anxiety disorder diagnoses were associated with increased likelihood of stimulant receipt. Stimulant use disorder and other substance use disorder diagnoses were associated with decreased likelihood of stimulant receipt. CONCLUSIONS: ADHD diagnoses and pharmacotherapy among patients with opioid use disorder have increased. A minority of patients with ADHD and taking MOUDs received a stimulant. Further study is needed of the benefits and risks of ADHD pharmacotherapy for patients with opioid use disorder.