Opioid Physiology Project

NCT ID: NCT03462797

Last Updated: 2018-10-11

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 87 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2017-08-14
• Study Completion Date: 2018-10-05

Brief Summary

The current project seeks to explore the use of emergent biosensor technology to detect opioid use. The investigators goal is to recruit 60 opioid naïve patients presenting at the College of Dentistry at UTHSC. Candidate participants must be scheduled for an upcoming dental procedure that will involve subsequent pain management using oral opioid medication. Participants will be consented prior to any study procedures. All participant information from this study will be kept strictly confidential (e.g., no individual data will be shared with the College of Dentistry).

Detailed Description

Opioid overdose is a leading cause of accidental death in the USA, with death rates rising steadily over the last 20 years (CDC, 2015). Of the over 22,000 deaths relating to pharmaceutical overdose in 2011, three quarters involved opioid analgesics (Fletcher et al., 2011). Increases in problematic opioid use have paralleled a corresponding increase in drug treatment admissions (DOHH, 2014). Drug treatment programs currently focus on behavioral and pharmacologic interventions to sustain abstinence, and success is typically measured by self-reports or urine drug screening (NIDA, 2016). Both measurement methods are limited by such factors as recall bias, distortion, and lack of precision (Fishman et al., 2000). A detection method that accurately detects opioid use as it occurs in real time would provide several distinct advantages, including the ability to obtain environmental and behavioral contexts surrounding relapse as well as an opportunity for targeted interventions.

The current project seeks to explore the use of emergent biosensor technology to detect opioid use. The investigators goal is to recruit 60 opioid naïve patients presenting at the College of Dentistry at UTHSC. Candidate participants must be scheduled for an upcoming dental procedure that will involve subsequent pain management using oral opioid medication. Participants will be consented prior to any study procedures. All participant information from this study will be kept strictly confidential (e.g., no individual data will be shared with the College of Dentistry).

Participants who are enrolled will complete baseline questionnaires regarding psychological and behavioral risks of substance use. Next, participants will be asked to wear the wristband sensor for 1 day prior to surgery, and up to 30 days post-surgery, or as long as opioid medication is prescribed. Physiological measurement will be conducted via the Empatica E4 wristband biosensor, which measures electrodermal activity, skin temperature, and locomotion data. Opioid use will detected through biosensor activity. Participants will be recruited over a 6 month period, in cohorts of 10. All study procedures will be approved by the UTHSC IRB.

Hilbert transform analyses combined with paired t-tests will be used to compare the biosensor data: (A) within subjects, before and after administration of opioids; and (B) between subjects, controlling for hand dominance, gender, and length of prescription.

Results of analyses will be shared with the College of Dentistry, and will subsequently be disseminated through a peer-reviewed publication.

Role of the College of Dentistry:

• To refer patients to Karen Derefinko's study team for possible recruitment into the study prior to the scheduled surgery.
• If possible, to allow a research coordinator to consent and interview participants on site in an available private room.
• To provide prescription data (type, dose, and duration) to study team, with signed participant consent.

Epigenetics:

Environmental exposures including prescription drugs and drugs of abuse can have a pronounce effect on the epigenome (Nestler, 2014; Nielsen et al., 2012). There is growing evidence that use of opioids results in changes in DNA methylation, an important epigenetic modification that can alter gene expression. Such changes may play a mechanistic role in forming an "epigenetic memory" of drug exposure and development of dependence (Doehring et al., 2013; Tuesta & Zhang, 2014). For this study, the coordinator will collect buccal swabs (cheek epithelial cells) from study subjects at the start of study and at follow up visits. Buccal cells will be collected non-invasively using the DNA Genotek sample collection kits (http://www.dnagenotek.com). The investigator will then perform genome-wide DNA methylation assay using the Illumina Infinium MethylationEPIC array (https://www.illumina.com). The investigator will evaluate the longitudinal change in the methylome that may be induced by short-term opioid use.

Conditions

Tolerance; Withdrawal; Addiction; Epigenetic Changes

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Adult (18 or over)
• Opioid naive
• Getting a dental surgery where clinicians will prescribe opioid medication
• Ability to consent
• English as primary language
• Willingness to wear biosensor
• Willingness to complete daily log
• Willingness to provide saliva samples (epigenetics)

Exclusion Criteria

• Inability to wear biosensor
• Other cause of pain (that may lead to other opioid use)
• Current drug or alcohol depend
• Inability to Consent
• Pregnancy
• Incarceration
• Musculoskeletal causes of pain limiting motion
• Upper Extremity Amputation
• Individuals with Developmental Disabilities

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

University of Tennessee

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Karen J Derefinko, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Tennessee

Locations

University of Tennessee College of Dentistry

Memphis, Tennessee, United States

Countries

United States

References

Salgado Garcia FI, Indic P, Stapp J, Chintha KK, He Z, Brooks JH, Carreiro S, Derefinko KJ. Using wearable technology to detect prescription opioid self-administration. Pain. 2022 Feb 1;163(2):e357-e367. doi: 10.1097/j.pain.0000000000002375.

Reference Type: DERIVED

PMID: 34270522 (View on PubMed)

Other Identifiers

17-05380-XP

Identifier Type: -

Identifier Source: org_study_id