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Original Articles

Investigation of Simulated Adherence in Long-Term Buprenorphine/Naloxone Treatment Patients

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Abstract

Background

Buprenorphine is a medication that is used to treat opioid use disorder by reducing withdrawal symptoms and cravings for opioids. Patients with poor adherence are at higher risk of relapse and overdose. Providers often test adherence through urine testing but are not aware of simulated adherence, where patients may directly add buprenorphine to the urine samples. As of now, there exists no literature on the simulated adherence practices for patients who stayed in the treatment for more than three months

Methods

This study is a cross-sectional analysis of simulated adherence through urine toxicology results of 3950 patients undergoing buprenorphine/naloxone treatment. Simulated adherence was measured by the ratio of norbuprenorphine and buprenorphine <0.02 in the urine sample. Descriptive statistics as well as multivariate analysis was conducted to examine the relationship between patient information and outcomes.

Results

Out of 3950 patients, 411 (10.4%) had a history of one or more simulated adherence. On average, patients with multiple simulated adherences had 48.1% of their tests simulated, while on the contrary, patients with a single occurrence of simulated adherence had 17.6% of their tests simulated. Weekly testing and visit number of over 15 were associated with a higher likelihood of simulated adherence.

Conclusion

The study demonstrates that simulated adherence is a recurring phenomenon among buprenorphine/naloxone treatment patients regardless of the duration in the treatment. Utilization of quantitative urine toxicology to identify simulated adherence will enable healthcare providers to formulate a more precise and effective treatment plan tailored to support individual patient needs.

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Declaration of interest

The authors report no conflict of interest.

Role of the funder/sponsor

Gravity had no role in the design and conduct of the study analysis, and interpretation of the data

Additional information

Funding

This research was partially supported by Gravity Diagnostics.

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