Rates of opioid use disorder (OUD) have increased dramatically over the past two decades, a rise that has been accompanied by changing demographics of those affected. Early exposure to drugs is a known risk factor for later development of opioid use disorder; but how and whether this risk factor may differ between racial groups is unknown. Our study seeks to identify race differences in self-report of current and past substance use in OUD-diagnosed treatment-seeking individuals. Patients (n = 157) presenting for methadone maintenance treatment at a racially diverse urban opioid treatment program were approached and consented for study involvement. Participants were administered substance use history questionnaires and urine drug screening at intake. Chi-square, t-tests, and rank-sum were used to assess race differences in demographic variables. Logistic and linear regressions assessed the relationship between race and substance use for binary and continuous variables, respectively. 61% of the population identified as Black and 39% as White. Black participants were significantly older; age was thus included as a covariate. Logistic regressions demonstrated that despite similar urine toxicology at intake, White participants were significantly more likely to report having used prescription opioids and psychedelic, stimulant, and sedative substance classes prior to their first use of non-pharmaceutical opioids. Compared to Black participants, White treatment-seeking OUD-diagnosed individuals reported using a wider range of substances ever and prior to first use of non-pharmaceutical opioids. There were no differences, however, in presentation for OUD treatment, suggesting different pathways to OUD, which may carry important clinical implications.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573766PMC
http://dx.doi.org/10.1080/15332640.2021.1879702DOI Listing

Publication Analysis

Top Keywords

opioid disorder
12
risk factor
8
race differences
8
black participants
8
prior non-pharmaceutical
8
non-pharmaceutical opioids
8
race-based differences
4
differences drug
4
drug prior
4
prior onset
4

Similar Publications

Background: Opioid Agonist Treatment (OAT) is the most effective intervention for opioid use disorder (OUD), but retention has decreased due to increasingly potent drugs like fentanyl. This cohort can be used retrospectively to observe trends in service utilization, healthcare integration, healthcare costs and patient outcomes. It also facilitates the design of observational studies to mimic a prospective design.

View Article and Find Full Text PDF

Introduction: Veno-arterial extracorporeal membrane oxygenation is frequently considered and implemented to help manage patients with cardiogenic shock from acute poisoning. However, utilization of veno-venous extracorporeal membrane oxygenation in acutely poisoned patients is largely unknown.

Method: We conducted a retrospective study analyzing the epidemiologic, clinical characteristics and survival of acutely poisoned patients placed on veno-venous extracorporeal membrane oxygenation using the Extracorporeal Life Support Organization registry.

View Article and Find Full Text PDF

Observational studies play an increasingly important role in estimating causal effects of a treatment or an exposure, especially with the growing availability of routinely collected real-world data. To facilitate drawing causal inference from observational data, we introduce a conceptual framework centered around "four targets"-target estimand, target population, target trial, and target validity. We illustrate the utility of our proposed "four targets" framework with the example of buprenorphine dosing for treating opioid use disorder, explaining the rationale and process for employing the framework to guide causal thinking from observational data.

View Article and Find Full Text PDF

Understanding the opioid syndemic in North Carolina: A novel approach to modeling and identifying factors.

Biostatistics

December 2024

Department of Statistical Sciences, College of Arts and Sciences, Wake Forest University, 127 Manchester Hall, Winston-Salem, NC, 27109, United States.

The opioid epidemic is a significant public health challenge in North Carolina, but limited data restrict our understanding of its complexity. Examining trends and relationships among different outcomes believed to reflect opioid misuse provides an alternative perspective to understand the opioid epidemic. We use a Bayesian dynamic spatial factor model to capture the interrelated dynamics within six different county-level outcomes, such as illicit opioid overdose deaths, emergency department visits related to drug overdose, treatment counts for opioid use disorder, patients receiving prescriptions for buprenorphine, and newly diagnosed cases of acute and chronic hepatitis C virus and human immunodeficiency virus.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!