Comparison of timeline follow-back self-report and oral fluid testing to detect substance use in adult primary care patients

Buprenorphine adherence and illicit opioid use among patients in treatment for opioid use disorder

Background: Buprenorphine is a partial mu opioid agonist medication that has been shown to decrease non-prescribed opioid use, cravings, and opioid related morbidity and mortality. There is an assumption that full adherence is needed to achieve ideal treatment outcomes, and that non-adherence is associated with ongoing opioid use. However, literature documenting the strength of that assertion is lacking.Objectives: Evaluate the association between daily buprenorphine adherence and illicit opioid use.Methods: Secondary analysis of a 12-week randomized controlled trial of adults with opioid use disorder who recently initiated buprenorphine. Weekly study visits included self-report of daily buprenorphine adherence over the past 7 days (Timeline Follow Back method) and urine drug tests (UDT). A log-linear regression model accounting for clustering by participant was used to assess the association between buprenorphine adherence and illicit opioid use. Buprenorphine adherence was measured as a continuous variable (0-7 days).Results: Among 78 participants (56 men, 20 women, 2 nonbinary) with 737 visits, full 7-day adherence was reported at 70% of visits. The predominant form of non-adherence was missed doses (92% of cases). Each additional day of adherence was associated with an 8% higher rate of negative UDT for illicit opioids (RR = 1.08; 95% CI:1.03-1.13, p = .0002).Conclusion: In this sample of participants starting buprenorphine, missed doses were not uncommon. Fewer missed days was significantly associated with a lower risk of illicit opioid use. These findings suggest that efforts to minimize the number of missed days of buprenorphine are beneficial for treatment outcomes.

When Substance Use Is Underreported: Comparing Self-Reports and Hair Toxicology in an Urban Cohort of Young Adults

OBJECTIVE

Large-scale epidemiological research often uses self-reports to determine the prevalence of illicit substance use. Self-reports may suffer from inaccurate reporting but can be verified with objective measures. This study examined the following: the prevalence of illicit and non-medical substance use with self-reports and hair toxicology, the convergence of self-reported and objectively quantified substance use, and the correlates of under- and overreporting.

METHOD

The data came from a large urban cohort study of young adults (n = 1,002, mean age = 20.6 years, 50% female). The participants provided 3 cm of hair (covering the previous 3 months) and reported their illicit and non-medical substance use and their sociodemographic, psychological, and behavioral characteristics. Hair toxicology analyses targeted cannabinoids, ketamine, opiates/opioids, stimulants including 3,4-methylenedioxymethamphetamine, and relevant metabolites.

RESULTS

Self-reports underestimated the prevalence of most substances by 30% to 60% compared to hair tests. The average detection ratio (hair test/self-report) was 1.50. Hair tests were typically more sensitive than self-reports. Underreporting was associated with a low level of that substance in hair. Self-reported delinquency and psychopathology were correlated with an increased likelihood of concordant positive self-reports and hair tests compared to underreporting. Overreporting was associated with infrequent self-reported use.

CONCLUSION

Our study suggests that self-reports underestimate young adults' exposure to illicit substances and non-medical use of prescription drugs. Consequently, estimates of associations between substance use and risk factors or outcomes are likely biased. Combining self-reports with hair tests may be most beneficial in study samples with occasional substance use. Researchers can use specific factors (eg, detection ratios) to adjust prevalence estimates and correlations based on self-reports.

A Brief Screening and Assessment Tool for Opioid Use in Adults: Results from a Validation Study of the Tobacco, Alcohol, Prescription Medication, and Other Substances Tool

OBJECTIVES

This secondary analysis evaluated opioid-specific validation results of the Tobacco, Alcohol, Prescription Medication, and Other Substances (TAPS) tool for screening in primary care.

METHODS

This study is a secondary data analysis of the TAPS validation study. Performance of the TAPS tool for screening for unhealthy opioid use (with a score of 1+ for heroin and/or prescription opioids representing a positive screen) was evaluated. Discriminative ability was examined in comparison with reference standard measures across the spectrum of unhealthy opioid use: timeline follow-back with and without oral fluid testing identifying past-month use and the modified Composite International Diagnostic Interview for past-year problem use, opioid use disorder (OUD), and moderate-severe OUD.

RESULTS

In a sample of 2000 primary care patients, 114 screened positive for opioids on the TAPS tool. With a TAPS cutoff equal to 1+, the TAPS accurately identified past-month use, problem use, any OUD, and moderate-severe OUD (sensitivities = 68%-85%, specificities = 97%-98%, area under the curve = 0.80-0.91). When past-month use was expanded to include timeline follow-back with oral fluid testing, accuracy declined (52% sensitivity [95% confidence interval, 43%-60%], 98% specific [95% confidence interval, 97%-98%]).

CONCLUSIONS

While further testing in a larger population sample may be warranted, given their brevity, simplicity, and accuracy when self-administered, the TAPS opioid items can be used in primary care settings for a spectrum of unhealthy opioid use; however, self-disclosure remains an issue in primary care settings.

A clinical science guide for reviewing the cross-cultural rigor of assessments in an alcohol training clinic

A standard component of service delivery in alcohol treatment clinics is evidence-based assessment (EBA). Although EBA is essential for selecting appropriate treatment modalities for alcohol use and associated problems, there are limitations in existing EBAs concerning evidence of cultural equivalence and utility among individuals seeking alcohol treatment. However, training in EBA, addictions, and clinical applications with diverse populations all are gaps in clinical training in doctoral programs in clinical psychology. The present work used the clinical science model to review the psychometric properties, cross-cultural utility, and measurement invariance of measures in an assessment battery used in an alcohol treatment training clinic. This article describes the results of that review, recommendations for retaining or replacing common assessment measures used in alcohol treatment clinics, and recommendations for alcohol treatment clinics interested in engaging in similar processes. Findings suggested that more research is needed to evaluate the psychometric properties of EBAs utilized in an alcohol treatment assessment battery, particularly among American Indian and Alaska Native people, and to test measurement invariance across race/ethnicity and other identity groups in alcohol treatment-seeking populations. Overall, routine reviews of cultural relevance are needed in clinical settings to stay current with the emerging literature. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Cannabis use, comorbidities, and prescription medication use among older adults in a large healthcare system in Los Angeles, CA 2019-2020

OBJECTIVE

To describe the reported prevalence of cannabis use and co-use with prescription medications among older adult patients attending primary care (PC) clinics in Los Angeles, CA.

METHODS

We used electronic health record (EHR) data from sixty PC clinics part of a university-based, urban healthcare system. Patients' ≥50 years of age with an annual physical examination between July 2019 and May 2020 were eligible for inclusion (n = 42,555). Cannabis use was assessed by clinic staff at the time of the visit and recorded in the EHR. We also used EHR data on clinical characteristics including current prescriptions and comorbidities.

RESULTS

The median age was 63 years (range: 50-101) and 56% were female. Recent cannabis use was reported by 7.6%, which was higher than tobacco use (4.0%; p < 0.01). Prevalence of cannabis use was higher among patients prescribed psychotropic medications. For instance, 10.9% of patients prescribed benzodiazepines reported cannabis use as compared with 7.3% among patients without a prescription for benzodiazepines (p < 0.01). Patients with neurologic/musculoskeletal medications such as antiepileptics also had a higher prevalence of cannabis use when compared with those without these prescriptions (13.6% vs. 7.6% respectively; p < 0.01) as did those who were prescribed muscle relaxants (10.3% vs. 7.5% respectively; p < 0.01). After adjusting for age, sex, race/ethnicity, and comorbidities those prescribed medications for psychiatric (adjusted OR = 1.5; 95% CI 1.4-1.7), respiratory (adjusted OR = 1.2; 95% CI 1.1-1.3), or neurologic conditions (adjusted OR = 1.4; 95% CI 1.2-1.5) had increased odds of cannabis use compared with those not prescribed these medications.

DISCUSSION

The prevalence of cannabis use among older adults attending PC clinics in a university-based healthcare system was higher among those prescribed medications, which may interact with cannabis. These findings suggest that key groups of older patients who may benefit from routine PC screening for cannabis use and brief advice.