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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

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

Existing methods of screening for substance abuse (standardized questionnaires or clinician’s simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for

Author/s: 
Alemi, Farrokh, Avramovic, Sanja, Schwartz, Mark D.

Existing methods of screening for substance abuse (standardized questionnaires or clinician's simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for substance abuse using extant data in electronic health records (EHRs). We relied on data available through Veterans Affairs Informatics and Computing Infrastructure (VINCI) for the years 2006 through 2016. We focused on 4,681,809 veterans who had at least two primary care visits; 829,827 of whom had a hospitalization. Data included 699 million outpatient and 17 million inpatient records. The dependent variable was substance abuse as identified from 89 diagnostic codes using the Agency for Healthcare Quality and Research classification of diseases. In addition, we included the diagnostic codes used for identification of prescription abuse. The independent variables were 10,292 inpatient and 13,512 outpatient diagnoses, plus 71 dummy variables measuring age at different years between 20 and 90 years. A modified naive Bayes model was used to aggregate the risk across predictors. The accuracy of the predictions was examined using area under the receiver operating characteristic (AROC) curve in 20% of data, randomly set aside for the evaluation. Many physical/mental illnesses were associated with substance abuse. These associations supported findings reported in the literature regarding the impact of substance abuse on various diseases and vice versa. In randomly set-aside validation data, the model accurately predicted substance abuse for inpatient (AROC = 0.884), outpatient (AROC = 0.825), and combined inpatient and outpatient (AROC = 0.840) data. If one excludes information available after substance abuse is known, the cross-validated AROC remained high, 0.822 for inpatient and 0.817 for outpatient data. Data within EHRs can be used to detect existing or predict potential future substance abuse.

Keywords 
opioid abuse predictive models prescription abuse screening substance abuse veterans RISEOK
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