Preventing opioid misuse and opioid use disorder is critical among at-risk adolescents and young adults (AYAs). An Emergency Department (ED) visit provides an opportunity for delivering interventions during a rapidly changing opioid landscape. This paper describes pilot data and the protocol for a 2 × 2 factorial randomized controlled trial testing efficacy of early interventions to reduce escalation of opioid (prescription or illicit) misuse among at-risk AYAs. Interventions are delivered using technology by health coaches. AYAs ages 16-30 in the ED screening positive for prescription opioid use (+ ≥ 1 risk factor) or opioid misuse will be stratified by risk severity, sex, and age group. Participants will be randomly assigned to a condition at intake, either a live video health coach-delivered single session or a control condition of an enhanced usual care (EUC) community resource brochure. They are also randomly assigned to one of two post-intake conditions: health coach-delivered portal-like messaging via web portal over 30 days or EUC delivered at 30 days post-intake. Thus, the trial has four groups: health coach-delivered session+portal, health coach-delivered session+EUC, EUC + portal, and EUC + EUC. Outcomes will be measured at 3-, 6-, and 12-months. The primary outcome is opioid misuse based on a modified Alcohol Smoking and Substance Involvement Screening Test. Secondary outcomes include other opioid outcomes (e.g., days of opioid misuse, overdose risk behaviors), other substance misuse and consequences, and impaired driving. This study is innovative by testing the efficacy of feasible and scalable technology-enabled interventions to reduce and prevent opioid misuse and opioid use disorder. Trial Registration:ClinicalTrials.gov University of Michigan HUM00177625 NCT Registration: NCT04550715.
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http://dx.doi.org/10.1016/j.cct.2021.106523 | DOI Listing |
Introduction: Methadone Maintenance Therapy (MMT) is commonly used to treat opioid addiction but can cause significant oral health issues, including poor oral hygiene, dental caries, periodontal disease, and bone resorption. These issues can negatively impact on overall quality of life, leading to both aesthetic and functional concerns.
Aim Of The Study: This research compares the oral health of individuals in methadone maintenance treatment (MMT) with those starting MMT.
Contemp Clin Trials
December 2024
Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Background: Back pain is increasingly common, leading to more spine surgeries. While most people experience pain relief and improved function after surgery, many continue to suffer from chronic post-surgical pain (CPSP) with limited functional improvement. CPSP is often treated with opioids, raising concerns about misuse, poor functional outcomes, and broader public health impacts.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Department of Economics, University of Bergen, Postboks, Bergen, 7802, 5020, Norway.
Background: Opioid use disorders constitute a vast disease burden, need for comprehensive treatment, and substantial costs to individuals, families, and society. The multifaceted needs of people with opioid dependence call for integrated care. The study aims to assess the added value of an integrated medically assisted rehabilitation (MAR) program providing opioid agonist therapy for patients with opioid dependence as compared to the standard of care (SoC) in Norway.
View Article and Find Full Text PDFScand J Pain
January 2024
Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Jan Waldenströms Gata 35, 202 13 Malmö, Sweden.
Objectives: The efficacy of long-term opioid therapy (LTOT) in treating patients with chronic non-cancer pain (CnCP) is questionable, and the potential risks of adverse effects are well established. The aims were as follows: (1) compare characteristics in patients exposed to LTOT vs non-exposed. (2) Regarding opioid-exposed patients, describe characteristics of patients with risk factors for opioid use disorder or overdose in relation to opioid dosage.
View Article and Find Full Text PDFObjectives: The accurate identification of Emergency Department (ED) encounters involving opioid misuse is critical for health services, research, and surveillance. We sought to develop natural language processing (NLP)-based models for the detection of ED encounters involving opioid misuse.
Methods: A sample of ED encounters enriched for opioid misuse was manually annotated and clinical notes extracted.
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