1. Home
  2. opioid-related disorders

opioid-related disorders

The ASAM National Practice Guideline for the Treatment of Opioid Use Disorder: 2020 Focused Update

The American Society of Addiction Medicine (ASAM) developed this National Practice Guideline for the Treatment of Opioid Use Disorder to provide information on evidence-based treatment of opioid use disorder. This guideline is an update and replacement of the 2015 ASAM National Practice Guideline for the Use of Medications in the Treatment of Addiction Involving Opioid Use.

Keywords 
Opioid opioid abuse addiction

Opioid-Induced Adrenal Insufficiency

Author/s: 
Douglas Rice, Hirofumi Yoshida

A woman in her 40s with opioid use disorder receiving methadone (70 mg daily) was admitted for extended antibiotic treatment for methicillin-resistant Staphylococcus aureus bacteremia. She had been taking methadone at varying doses (ranging from 15 to 70 mg daily) for 15 years.

Following the resolution of bacteremia, she experienced unexplained persistent hyponatremia (129 mEq/L) and dizziness, with her urine sodium levels exceeding 40 mEq/L. A high dose, 250-μg cosyntropin stimulation test was performed, which revealed her cortisol levels were 6.6, 17.2, and 19.2 μg/mL (to convert to nmol/L, multiply by 27.6) at baseline, 30 minutes, and 60 minutes, respectively. A serum adrenocorticotropic hormone (ACTH) level was not measured.

Keywords 
Opioid-Related Disorders Opioid Use Hyponatremia Methicillin-Resistant Staphylococcus aureus methadone opioids Endocrinology Diabetes and Endocrinology

Managing Opioid Use Disorder in Primary Care: PEER Simplified Guide

Author/s: 
Korownyk, C., Perry, D, Kolber, M. R., Garrision, S., Thomas, B., Allan, G. M., Bateman, C., de Queiroz, R., Kennedy, D., Lamba, W., Marlinga, J., Mogus, T., Nickonchuk, T., Orrantia, E., Reich, K., Wong, N., Dugré, N., Lindblad, A. J.

Objective: To use the best available evidence and principles of shared, informed decision making to develop a clinical practice guideline for a simplified approach to managing opioid use disorder (OUD) in primary care.

Methods: Eleven health care and allied health professionals representing various practice settings, professions, and locations created a list of key questions relevant to the management of OUD in primary care. These questions related to the treatment setting, diagnosis, treatment, and management of comorbidities in OUD. The questions were researched by a team with expertise in evidence evaluation using a series of systematic reviews of randomized controlled trials. The Guideline Committee used the systematic reviews to create recommendations.

Recommendations: Recommendations outline the role of primary care in treating patients with OUD, as well as pharmacologic and psychotherapy treatments and various prescribing practices (eg, urine drug testing and contracts). Specific recommendations could not be made for management of comorbidities in patients with OUD owing to limited evidence.

Conclusion: The recommendations will help simplify the complex management of patients with OUD in primary care. They will aid clinicians and patients in making informed decisions regarding their care.

Mobile Telemedicine for Buprenorphine Treatment in Rural Populations With Opioid Use Disorder

Author/s: 
Weintraub, E., Seneviratne, C., Anane, J.

Importance
The demand for medications for opioid use disorder (MOUD) in rural US counties far outweighs their availability. Novel approaches to extend treatment capacity include telemedicine (TM) and mobile treatment on demand; however, their combined use has not been reported or evaluated.

Objective
To evaluate the use of a TM mobile treatment unit (TM-MTU) to improve access to MOUD for individuals living in an underserved rural area.

Design, Setting, and Participants
This quality improvement study evaluated data collected from adult outpatients with a diagnosis of OUD enrolled in the TM-MTU initiative from February 2019 (program inception) to June 2020. Program staff traveled to rural areas in a modified recreational vehicle equipped with medical, videoconferencing, and data collection devices. Patients were virtually connected with physicians based more than 70 miles (112 km) away. Data analysis was performed from June to October 2020.

Intervention
Patients received buprenorphine prescriptions after initial teleconsultation and follow-up visits from a study physician specialized in addiction psychiatry and medicine.

Main Outcomes and Measures
The primary outcome was 3-month treatment retention, and the secondary outcome was opioid-positive urine screens. Exploratory outcomes included use of other drugs and patients’ travel distance to treatment.

Results
A total of 118 patients were enrolled in treatment, of whom 94 were seen for follow-up treatment predominantly (at least 2 of 3 visits [>50%]) on the TM-MTU; only those 94 patients’ data are considered in all analyses. The mean (SD) age of patients was 36.53 (9.78) years, 59 (62.77%) were men, 71 (75.53%) identified as White, and 90 (95.74%) were of non-Hispanic ethnicity. Fifty-five patients (58.51%) were retained in treatment by 3 months (90 days) after baseline. Opioid use was reduced by 32.84% at 3 months, compared with baseline, and was negatively associated with treatment duration (F = 12.69; P = .001). In addition, compared with the nearest brick-and-mortar treatment location, TM-MTU treatment was a mean of 6.52 miles (range, 0.10-58.70 miles) (10.43 km; range, 0.16-93.92 km) and a mean of 10 minutes (range, 1-49 minutes) closer for patients.

Conclusions and Relevance
These data demonstrate the feasibility of combining TM with mobile treatment, with outcomes (retention and opioid use) similar to those obtained from office-based TM MOUD programs. By implementing a traveling virtual platform, this clinical paradigm not only helps fill the void of rural MOUD practitioners but also facilitates access to underserved populations who are less likely to reach traditional medical settings, with critical relevance in the context of the COVID-19 pandemic.

Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults

Author/s: 
Wilson, J.D., Zbebe, K.Z., Kraemer, K., Liebschutz, J., Merlin, J., Miller, E., D., Donohue, J.

Importance: Although prescription opioids are the most common way adolescents and young adults initiate opioid use, many studies examine population-level risks following the first opioid prescription. There is currently a lack of understanding regarding how patterns of opioid prescribing following the first opioid exposure may be associated with long-term risks.

Objective: To identify distinct patterns of opioid prescribing following the first prescription using group-based trajectory modeling and examine the patient-, clinician-, and prescription-level factors that may be associated with trajectory membership during the first year.

Design, setting, and participants: This cohort study examined Pennsylvania Medicaid enrollees' claims data from 2010 through 2016. Participants were aged 10 to 21 years at time of first opioid prescription. Data analysis was performed in March 2020.

Main outcomes and measures: This study used group-based trajectory modeling and defined trajectory status by opioid fill.

Results: Among the 189 477 youths who received an initial opioid prescription, 107 562 were female (56.8%), 81 915 were non-Latinx White (59.6%), and the median age was 16.9 (interquartile range [IQR], 14.6-18.8) years. During the subsequent year, 47 477 (25.1%) received at least one additional prescription. Among the models considered, the 2-group trajectory model had the best fit. Of those in the high-risk trajectory, 65.3% (n = 901) filled opioid prescriptions at month 12, in contrast to 13.1% (n = 6031) in the low-risk trajectory. Median age among the high-risk trajectory was 19.0 years (IQR, 17.1-20.0 years) compared with the low-risk trajectory (17.8 years [IQR, 15.8-19.4 years]). The high-risk trajectory received more potent prescriptions compared with the low-risk trajectory (median dosage of the index month for high-risk trajectory group: 10.0 MME/d [IQR, 5.0-21.2 MME/d] vs the low-risk trajectory group: 4.7 MME/d [IQR, 2.5-7.8 MME/d]; P < .001). The trajectories showed persistent differences with more youths in the high-risk trajectory going on to receive a diagnosis of opioid use disorder (30.0%; n = 412) compared with the low-risk group (10.1%; n = 4638) (P < .001).

Conclusions and relevance: This study's results identified 2 trajectories associated with elevated risk for persistent opioid receipt within 12 months following first opioid prescription. The high-risk trajectory was characterized by older age at time of first prescription, and longer and more potent first prescriptions. These findings suggest even short and low-dose opioid prescriptions can be associated with risks of persistent use for youths.

Keywords 
opioids Native Peoples youth Young Adults Opioid Prescription Opioid Use RISEOK

Responding to Unsafe Opioid Use: Abandon the Drug, Not the Patient

Author/s: 
Tobin, Daniel G., Holt, Stephen R., Doolittle, Benjamin R.

Physicians have a legal and ethical duty to protect their patients and support them during times of clinical need; the decision to end a doctor-patient relationship should not be made lightly. However, in a recent survey of 794 primary care practices, 90% reported discharging patients in the previous two years, often for opioid-related issues.1 Disruptive or inappropriate behavior was the most common reason for discharge (81%), but 78% reported dismissing patients for violations of a chronic pain or controlled substance agreement. We find this practice worrisome, particularly since many controlled substance agreements use coercive and stigmatizing language that patients may reluctantly sign or have trouble understanding.2 Although violent, threatening, or disruptive behavior may be a valid reason to discharge patients in certain circumstances, opioid misuse should rarely rise to this threshold

Keywords 
Opioid Use opioids RISEOK Opioid-Related Disorders 2019-nCOV

Creation of an algorithm for clinical decision support for treatment of opioid use disorder with buprenorphine in primary care

Author/s: 
Dela Cruz, Adriane M., Walker, Robrina, Pipes, Ronny, Wakhlu, Sidarth, Trivedi, Madhukar H.

Background: The treatment capacity for opioid use disorder (OUD) lags far behind the number of patients in need of treatment. Capacity is limited, in part, by the limited number of physicians who offer office based OUD treatment with buprenorphine. Measurement based care (MBC) has been proposed as a means to support primary care physicians in treating OUD. Here, we propose a set of measures and a clinical decision support algorithm to provide MBC for the treatment of OUD.

Methods: We utilized literature search and expert consensus to identify measures for universal screening and symptom tracking. We used expert consensus to create the clinical decision support algorithm.

Results: The Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool was selected as the best published measure for universal screening in primary care. No published measure was identified as appropriate for symptom tracking or medication adherence; therefore, we created the OUD Symptom Checklist from the DSM-5 criteria for OUD and the Patient Adherence Questionnaire for Opioid Use Disorder Treatment (PAQ-OUD) to assess medication adherence. We developed and present a clinical decision support algorithm to provide direct guidance regarding treatment interventions during the first 12 weeks of buprenorphine treatment.

Conclusion: Creation of these tools is the necessary first step for implementation of MBC for the treatment of OUD with buprenorphine in primary care. Further work is needed to test the feasibility and acceptability of these tools. Trial Registration ClinicalTrials.gov; NCT04059016; 16 August 2019; retrospectively registered; https://clinicaltrials.gov/ct2/show/NCT04059016.

Keywords 
RISEOK opioids long-term opioids Opioid Use Disorder elderly Buprenorphine Clinical decision support Measurement based care

Association of Current Opioid Use With Serious Adverse Events Among Older Adult Survivors of Breast Cancer

Author/s: 
Winn, Aaron N., Check, Devon K., Farkas, Amy, Fergestrom, Nicole M., Neuner, Joan M., Roberts, Andrew W.

Importance: National efforts to improve safe opioid prescribing focus on preventing misuse, overdose, and opioid use disorder. This approach overlooks opportunities to better prevent other serious opioid-related harms in complex populations, such as older adult survivors of cancer. Little is known about the rates and risk factors for comprehensive opioid-related harms in this population.

Objective: To determine rates of multiple opioid-related adverse drug events among older adults who survived breast cancer and estimate the risk of these events associated with opioid use in the year after completing cancer treatment.

Design, setting, and participants: This retrospective cohort study used 2007 to 2016 Surveillance, Epidemiology and End Results-Medicare data from fee-for-service Medicare beneficiaries with first cancer diagnosis of stage 0 to III breast cancer at age 66 to 90 years from January 1, 2008, through December 31, 2015, who completed active breast cancer treatment. Data were analyzed from October 31, 2019, to June 10, 2020.

Exposures: Repeated daily measure indicating possession of any prescription opioid supply in Medicare Part D prescription claims.

Main outcomes and measures: Adjusted risk ratios (aRRs), estimated using modified Poisson generalized estimating equation models, for adverse drug events related to substance misuse (ie, diagnosed opioid abuse, dependence, or poisoning), other adverse drug events associated with opioid use (ie, gastrointestinal events, infections, falls and fractures, or cardiovascular events), and all-cause hospitalization associated with opioid supply the prior day, controlling for patient characteristics.

Conclusions and relevance: These findings suggest that among older adults who survived breast cancer, continued prescription opioid use in the year after completing active cancer treatment was associated with an immediate increased risk of a broad range of serious adverse drug events related to substance misuse and other adverse drug events associated with opioid use. Clinicians should consider the comprehensive risks of managing cancer pain with long-term opioid therapy.

Keywords 
RISEOK aged elderly Opioid-Related Disorders opioids pain management

The opioid crisis: a contextual, social-ecological framework

Author/s: 
Jalali, Mohammad S., Botticelli, Michael, Hwang, Rachael C., Koh, Howard K., McHugh, R. Kathryn

The prevalence of opioid use and misuse has provoked a staggering number of deaths over the past two and a half decades. Much attention has focused on individual risks according to various characteristics and experiences. However, broader social and contextual domains are also essential contributors to the opioid crisis such as interpersonal relationships and the conditions of the community and society that people live in. Despite efforts to tackle the issue, the rates of opioid misuse and non-fatal and fatal overdose remain high. Many call for a broad public health approach, but articulation of what such a strategy could entail has not been fully realised. In order to improve the awareness surrounding opioid misuse, we developed a social-ecological framework that helps conceptualise the multivariable risk factors of opioid misuse and facilitates reviewing them in individual, interpersonal, communal and societal levels. Our framework illustrates the multi-layer complexity of the opioid crisis that more completely captures the crisis as a multidimensional issue requiring a broader and integrated approach to prevention and treatment.

Keywords 
Opioid Use Disorder opioids social-ecological framework RISEOK Opioid Epidemic

Challenges and Approaches to Population Management of Long-Term Opioid Therapy Patients

Author/s: 
Stephens, Kari A., Ike, Brooke, Baldwin, Laura-Mae, Packer, Christine, Parchman, Michael

Purpose: Primary care is challenged with safely prescribing opioids for patients with chronic noncancer pain (CNCP), specifically to address risks for overdose, opioid use disorder, and death. We identify sociotechnical challenges, approaches, and recommendations in primary care to effectively track and monitor patients on long-term opioid therapy, a key component for supporting adoption of opioid prescribing guidelines.

Methods: We examined qualitative data (field notes and postintervention interview and focus group transcripts) from 6 rural and rural-serving primary care organizations with 20 clinic locations enrolled in a study evaluating a practice redesign program to improve opioid medication management for CNCP patients. Two independent researchers used content analysis to categorize data into key themes to develop an understanding of sociotechnical factors critical to creating and implementing an approach to tracking and monitoring of patients on long-term opioid therapy in primary care practices.

Results: Four factors were critical to developing a tracking and monitoring system. For each we describe common challenges and approaches used by the clinics to overcome then. The first factor, buy-in and participation, was essential for accomplishing the other 3. The other factors occurred sequentially: 1) cohort identification-finding the right patients, 2) data collection and extraction-tracking the right data, and 3) data use-monitoring patients and adjusting care processes.

Conclusions: We identified common challenges and approaches to tracking and monitoring patients using long-term opioid therapy for CNCP in primary care. Based on these findings we provide recommendations to build capacity for tracking and monitoring for organizations that are engaged in improving safe opioid-prescribing practices for CNCP in primary care.

Keywords 
Capacity Building Chronic Disease chronic pain Disease Management Drug Overdose 2019-nCOV 1,4-DMAA primary health care RISEOK
Subscribe to opioid-related disorders