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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

Safety and tolerability of natural and synthetic cannabinoids in adults aged over 50 years: A systematic review and meta-analysis

Author/s: 
Velayudhan, Latha, McGoohan, Katie, Bhattacharyya, Sagnik

Background: Cannabinoid-based medicines (CBMs) are being used widely in the elderly. However, their safety and tolerability in older adults remains unclear. We aimed to conduct a systematic review and meta-analysis of safety and tolerability of CBMs in adults of age ≥50 years.

Methods and findings: A systematic search was performed using MEDLINE, PubMed, EMBASE, CINAHL PsychInfo, Cochrane Library, and ClinicalTrials.gov (1 January 1990 to 3 October 2020). Randomised clinical trials (RCTs) of CBMs in those with mean age of ≥50 years for all indications, evaluating the safety/tolerability of CBMs where adverse events have been quantified, were included. Study quality was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) criteria and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed. Two reviewers conducted all review stages independently. Where possible, data were pooled using random-effects meta-analysis. Effect sizes were calculated as incident rate ratio (IRR) for outcome data such as adverse events (AEs), serious AEs (SAEs), and death and risk ratio (RR) for withdrawal from study and reported separately for studies using tetrahydrocannabinol (THC), THC:cannabidiol (CBD) combination, and CBD. A total of 46 RCTs were identified as suitable for inclusion of which 31 (67%) were conducted in the United Kingdom and Europe. There were 6,216 patients (mean age 58.6 ± 7.5 years; 51% male) included in the analysis, with 3,469 receiving CBMs. Compared with controls, delta-9-tetrahydrocannabinol (THC)-containing CBMs significantly increased the incidence of all-cause and treatment-related AEs: THC alone (IRR: 1.42 [95% CI, 1.12 to 1.78]) and (IRR: 1.60 [95% CI, 1.26 to 2.04]); THC:CBD combination (IRR: 1.58 [95% CI,1.26 to 1.98]) and (IRR: 1.70 [95% CI,1.24 to 2.33]), respectively. IRRs of SAEs and deaths were not significantly greater under CBMs containing THC with or without CBD. THC:CBD combination (RR: 1.40 [95% CI, 1.08 to 1.80]) but not THC alone (RR: 1.18 [95% CI, 0.89 to 1.57]) significantly increased risk of AE-related withdrawals. CBD alone did not increase the incidence of all-cause AEs (IRR: 1.02 [95% CI, 0.90 to 1.16]) or other outcomes as per qualitative synthesis. AE-related withdrawals were significantly associated with THC dose in THC only [QM (df = 1) = 4.696, p = 0.03] and THC:CBD combination treatment ([QM (df = 1) = 4.554, p = 0.033]. THC-containing CBMs significantly increased incidence of dry mouth, dizziness/light-headedness, and somnolence/drowsiness. Study limitations include inability to fully exclude data from those <50 years of age in our primary analyses as well as limitations related to weaknesses in the included trials particularly incomplete reporting of outcomes and heterogeneity in included studies.

Conclusions: This pooled analysis, using data from RCTs with mean participant age ≥50 years, suggests that although THC-containing CBMs are associated with side effects, CBMs in general are safe and acceptable in older adults. However, THC:CBD combinations may be less acceptable in the dose ranges used and their tolerability may be different in adults over 65 or 75 years of age.

Keywords 
RISEOK aged opioids opioid abuse cannabinoids cannabidiol

Management of Persistent Pain in the Older Patient A Clinical Review

Author/s: 
Makris, Una E., Abrams, Robert C., Durland, Barry, Reid, M.C.

Importance: Persistent pain is highly prevalent, costly, and frequently disabling in later life.

Objective: To describe barriers to the management of persistent pain among older adults, summarize current management approaches, including pharmacologic and nonpharmacologic modalities; present rehabilitative approaches; and highlight aspects of the patient-physician relationship that can help to improve treatment outcomes. This review is relevant for physicians who seek an age-appropriate approach to delivering pain care for the older adult.

Evidence acquisition: Search of MEDLINE and the Cochrane database from January 1990 through May 2014, using the search terms older adults, senior, ages 65 and above, elderly, and aged along with non-cancer pain, chronic pain, persistent pain, pain management, intractable pain, and refractory pain to identify English-language peer-reviewed systematic reviews, meta-analyses, Cochrane reviews, consensus statements, and guidelines relevant to the management of persistent pain in older adults.

Findings: Of the 92 identified studies, 35 evaluated pharmacologic interventions, whereas 57 examined nonpharmacologic modalities; the majority (n = 50) focused on older adults with osteoarthritis. This evidence base supports a stepwise approach with acetaminophen as first-line therapy. If treatment goals are not met, a trial of a topical nonsteroidal anti-inflammatory drug, tramadol, or both is recommended. Oral nonsteroidal anti-inflammatory drugs are not recommended for long-term use. Careful surveillance to monitor for toxicity and efficacy is critical, given that advancing age increases risk for adverse effects. A multimodal approach is strongly recommended-emphasizing a combination of both pharmacologic and nonpharmacologic treatments to include physical and occupational rehabilitation, as well as cognitive-behavioral and movement-based interventions. An integrated pain management approach is ideally achieved by cultivating a strong therapeutic alliance between the older patient and the physician.

Conclusions and relevance: Treatment planning for persistent pain in later life requires a clear understanding of the patient's treatment goals and expectations, comorbidities, and cognitive and functional status, as well as coordinating community resources and family support when available. A combination of pharmacologic, nonpharmacologic, and rehabilitative approaches in addition to a strong therapeutic alliance between the patient and physician is essential in setting, adjusting, and achieving realistic goals of therapy.

Keywords 
RISEOK opioid abuse opioids Pain

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

AAFP Chronic Pain Management Toolkit

Chronic pain is common in the U.S., with anywhere from 11% to 40% of the adult population reporting daily pain.1 Approximately one-third of patients experiencing pain receive a pain medication.2 While the number of prescriptions for pain management have declined in recent years3, opioid misuse remains a significant public health crisis. Roughly 21-29% of patients who are prescribed opioids for chronic pain will misuse them.4

This increase leads to a rise in opioid overdoses—at least half are attributed to prescription medications—and morbidity and mortality. Numerous groups—including the AAFP, other medical societies, the National Academy of Medicine and the U.S. Congress—are emphasizing the need to improve chronic pain care.

Keywords 
RISEOK opioids chronic pain pain management Opiate Overdose

Individualized approach to primary prevention of substance use disorder: age-related risks

Author/s: 
Afuseh, Eric, Pike, Caitlin A., Oruche, Ukamaka M.

Background: The misuse of legal and illegal substances has led to an increase in substance use disorder (SUD) in the United States. Although primary prevention strategies have been successfully used to target chronic physical diseases, these strategies have been less effective with SUD, given misconceptions of SUD, shortages in behavioral health professionals, and the population-based focus on specific substances. A developmental approach to the identification and primary prevention of SUD that does not fully rely upon behavioral health workers is needed. The purpose of this paper was to examine age related risk factors for developing SUD and present a novel individualized approach to SUD prevention.

Methods: A literature search was conducted to identify risk factors for SUD among children, young adults, adults, and older adults. We searched CINAHL, PsycINFO, and PubMed between the years 1989-2019, and extracted data, analyzing similarities and differences in risk factors across life stages. Broader categories emerged that were used to group the risk factors.

Results: More than 370 articles were found. Across all age groups, risk factors included adverse childhood experiences, trauma, chronic health diseases, environmental factors, family history, social determinants, and grief and loss. Despite the similarities, the contextual factors and life challenges associated with these risks varied according to the various life stages. We proposed an approach to primary prevention of SUD based on risk factors for developing the disease according to different age groups. This approach emphasizes screening, education, and empowerment (SEE), wherein individuals are screened for risk factors according to their age group, and screening results are used to customize interventions in the form of education and empowerment. Given that trained persons, including non-healthcare providers, close to the at-risk individual could conduct the screening and then educate and mentor the individual according to the risk level, the number of people who develop SUD could decrease.

Conclusions: The risk factors for developing SUD vary across the various life stages, which suggests that individualized approaches that do not overtax behavioral healthcare workers are needed. Using SEE may foster early identification and individualized prevention of SUD.

Keywords 
RISEOK Opioid primary prevention risk factors Substance misuse substance use disorder

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

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

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
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