1
|
Qian G, Humphreys K, Goldhaber-Fiebert JD, Brandeau ML. Estimated effectiveness and cost-effectiveness of opioid use disorder treatment under proposed U.S. regulatory relaxations: A model-based analysis. Drug Alcohol Depend 2024; 256:111112. [PMID: 38335797 PMCID: PMC10940194 DOI: 10.1016/j.drugalcdep.2024.111112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 01/12/2024] [Accepted: 01/28/2024] [Indexed: 02/12/2024]
Abstract
AIM To assess the effectiveness and cost-effectiveness of buprenorphine and methadone treatment in the U.S. if exemptions expanding coverage for substance use disorder services via telehealth and allowing opioid treatment programs to supply a greater number of take-home doses of medications for opioid use disorder (OUD) continue (Notice of Proposed Rule Making, NPRM). DESIGN SETTING AND PARTICIPANTS Model-based analysis of buprenorphine and methadone treatment for a cohort of 100,000 individuals with OUD, varying treatment retention and overdose risk among individuals receiving and not receiving methadone treatment compared to the status quo (no NPRM). INTERVENTION Buprenorphine and methadone treatment under NPRM. MEASUREMENTS Fatal and nonfatal overdoses and deaths over five years, discounted lifetime per person QALYs and costs. FINDINGS For buprenorphine treatment under the status quo, 1.21 QALYs are gained at a cost of $19,200/QALY gained compared to no treatment; with 20% higher treatment retention, 1.28 QALYs are gained at a cost of $17,900/QALY gained compared to no treatment, and the strategy dominates the status quo. For methadone treatment under the status quo, 1.11 QALYs are gained at a cost of $17,900/QALY gained compared to no treatment. In all scenarios, methadone provision cost less than $20,000/QALY gained compared to no treatment, and less than $50,000/QALY gained compared to status quo methadone treatment. CONCLUSIONS Buprenorphine and methadone OUD treatment under NPRM are likely to be effective and cost-effective. Increases in overdose risk with take-home methadone would reduce health benefits. Clinical and technological strategies could mitigate this risk.
Collapse
Affiliation(s)
- Gary Qian
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA.
| | - Keith Humphreys
- Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | | | - Margaret L Brandeau
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| |
Collapse
|
2
|
Wartko PD, Bobb JF, Boudreau DM, Matthews AG, McCormack J, Lee AK, Qiu H, Yu O, Hyun N, Idu AE, Campbell CI, Saxon AJ, Liu DS, Altschuler A, Samet JH, Labelle CT, Zare-Mehrjerdi M, Stotts AL, Braciszewski JM, Murphy MT, Dryden D, Arnsten JH, Cunningham CO, Horigian VE, Szapocznik J, Glass JE, Caldeiro RM, Phillips RC, Shea M, Bart G, Schwartz RP, McNeely J, Liebschutz JM, Tsui JI, Merrill JO, Lapham GT, Addis M, Bradley KA, Ghiroli MM, Hamilton LK, Hu Y, LaHue JS, Loree AM, Murphy SM, Northrup TF, Shmueli-Blumberg D, Silva AJ, Weinstein ZM, Wong MT, Burganowski RP. Nurse Care Management for Opioid Use Disorder Treatment: The PROUD Cluster Randomized Clinical Trial. JAMA Intern Med 2023; 183:1343-1354. [PMID: 37902748 PMCID: PMC10616772 DOI: 10.1001/jamainternmed.2023.5701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/01/2023] [Indexed: 10/31/2023]
Abstract
Importance Few primary care (PC) practices treat patients with medications for opioid use disorder (OUD) despite availability of effective treatments. Objective To assess whether implementation of the Massachusetts model of nurse care management for OUD in PC increases OUD treatment with buprenorphine or extended-release injectable naltrexone and secondarily decreases acute care utilization. Design, Setting, and Participants The Primary Care Opioid Use Disorders Treatment (PROUD) trial was a mixed-methods, implementation-effectiveness cluster randomized clinical trial conducted in 6 diverse health systems across 5 US states (New York, Florida, Michigan, Texas, and Washington). Two PC clinics in each system were randomized to intervention or usual care (UC) stratified by system (5 systems were notified on February 28, 2018, and 1 system with delayed data use agreement on August 31, 2018). Data were obtained from electronic health records and insurance claims. An implementation monitoring team collected qualitative data. Primary care patients were included if they were 16 to 90 years old and visited a participating clinic from up to 3 years before a system's randomization date through 2 years after. Intervention The PROUD intervention included 3 components: (1) salary for a full-time OUD nurse care manager; (2) training and technical assistance for nurse care managers; and (3) 3 or more PC clinicians agreeing to prescribe buprenorphine. Main Outcomes and Measures The primary outcome was a clinic-level measure of patient-years of OUD treatment (buprenorphine or extended-release injectable naltrexone) per 10 000 PC patients during the 2 years postrandomization (follow-up). The secondary outcome, among patients with OUD prerandomization, was a patient-level measure of the number of days of acute care utilization during follow-up. Results During the baseline period, a total of 130 623 patients were seen in intervention clinics (mean [SD] age, 48.6 [17.7] years; 59.7% female), and 159 459 patients were seen in UC clinics (mean [SD] age, 47.2 [17.5] years; 63.0% female). Intervention clinics provided 8.2 (95% CI, 5.4-∞) more patient-years of OUD treatment per 10 000 PC patients compared with UC clinics (P = .002). Most of the benefit accrued in 2 health systems and in patients new to clinics (5.8 [95% CI, 1.3-∞] more patient-years) or newly treated for OUD postrandomization (8.3 [95% CI, 4.3-∞] more patient-years). Qualitative data indicated that keys to successful implementation included broad commitment to treat OUD in PC from system leaders and PC teams, full financial coverage for OUD treatment, and straightforward pathways for patients to access nurse care managers. Acute care utilization did not differ between intervention and UC clinics (relative rate, 1.16; 95% CI, 0.47-2.92; P = .70). Conclusions and Relevance The PROUD cluster randomized clinical trial intervention meaningfully increased PC OUD treatment, albeit unevenly across health systems; however, it did not decrease acute care utilization among patients with OUD. Trial Registration ClinicalTrials.gov Identifier: NCT03407638.
Collapse
Affiliation(s)
- Paige D Wartko
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Jennifer F Bobb
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Biostatistics, School of Public Health, University of Washington, Seattle
| | - Denise M Boudreau
- Kaiser Permanente Washington Health Research Institute, Seattle
- Now with Genentech Inc, South San Francisco, California
| | | | | | - Amy K Lee
- Kaiser Permanente Washington Health Research Institute, Seattle
- Now with Kaiser Permanente Washington, Renton
| | - Hongxiang Qiu
- Kaiser Permanente Washington Health Research Institute, Seattle
- Now with Department of Epidemiology and Biostatistics, Michigan State University, East Lansing
| | - Onchee Yu
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Noorie Hyun
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Abisola E Idu
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Cynthia I Campbell
- Division of Research, Kaiser Permanente Northern California, Oakland
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Andrew J Saxon
- Center of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, Washington
| | - David S Liu
- National Institute on Drug Abuse Center for Clinical Trials Network, North Bethesda, Maryland
| | - Andrea Altschuler
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Jeffrey H Samet
- Boston University Schools of Medicine and Public Health, Boston Medical Center, Boston, Massachusetts
| | - Colleen T Labelle
- Boston University Schools of Medicine and Public Health, Boston Medical Center, Boston, Massachusetts
| | - Mohammad Zare-Mehrjerdi
- Department of Family and Community Medicine, UTHealth Houston McGovern Medical School, Houston, Texas
| | - Angela L Stotts
- Department of Family and Community Medicine, UTHealth Houston McGovern Medical School, Houston, Texas
| | - Jordan M Braciszewski
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, Michigan
| | | | - Douglas Dryden
- MultiCare Health System, Tacoma, Washington
- Now with Mosaic Medical, Bend, Oregon
| | - Julia H Arnsten
- Montefiore Medical Center, Bronx, New York
- Albert Einstein College of Medicine, Bronx, New York
| | - Chinazo O Cunningham
- Albert Einstein College of Medicine, Bronx, New York
- Now with New York State Office of Addiction Services and Supports, New York
| | - Viviana E Horigian
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida
| | - José Szapocznik
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida
| | - Joseph E Glass
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Ryan M Caldeiro
- Mental Health and Wellness Department, Kaiser Permanente Washington, Renton
| | | | - Mary Shea
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Gavin Bart
- Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota
- University of Minnesota Medical School, Minneapolis
| | | | - Jennifer McNeely
- Department of Population Health, Grossman School of Medicine, New York University, New York
| | - Jane M Liebschutz
- Center for Research on Health Care, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Judith I Tsui
- Division of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle
| | - Joseph O Merrill
- Division of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle
| | - Gwen T Lapham
- Kaiser Permanente Washington Health Research Institute, Seattle
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle
| | - Megan Addis
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Katharine A Bradley
- Kaiser Permanente Washington Health Research Institute, Seattle
- Division of General Internal Medicine, Department of Medicine, University of Washington School of Medicine, Seattle
- Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California
| | - Megan M Ghiroli
- Montefiore Medical Center, Bronx, New York
- Albert Einstein College of Medicine, Bronx, New York
| | - Leah K Hamilton
- Kaiser Permanente Washington Health Research Institute, Seattle
| | - Yong Hu
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, Michigan
| | | | - Amy M Loree
- Center for Health Policy and Health Services Research, Henry Ford Health, Detroit, Michigan
| | - Sean M Murphy
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Thomas F Northrup
- Department of Family and Community Medicine, UTHealth Houston McGovern Medical School, Houston, Texas
| | | | | | - Zoe M Weinstein
- Boston University Schools of Medicine and Public Health, Boston Medical Center, Boston, Massachusetts
| | | | | |
Collapse
|
3
|
Brandt L, Hu MC, Liu Y, Castillo F, Odom GJ, Balise RR, Feaster DJ, Nunes EV, Luo SX. Risk of Experiencing an Overdose Event for Patients Undergoing Treatment With Medication for Opioid Use Disorder. Am J Psychiatry 2023; 180:386-394. [PMID: 36891640 DOI: 10.1176/appi.ajp.20220312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2023]
Abstract
OBJECTIVE Overdose risk during a course of treatment with medication for opioid use disorder (MOUD) has not been clearly delineated. The authors sought to address this gap by leveraging a new data set from three large pragmatic clinical trials of MOUD. METHODS Adverse event logs, including overdose events, from the three trials (N=2,199) were harmonized, and the overall risk of having an overdose event in the 24 weeks after randomization was compared for each study arm (one methadone, one naltrexone, and three buprenorphine groups), using survival analysis with time-dependent Cox proportional hazard models. RESULTS By week 24, 39 participants had ≥1 overdose event. The observed frequency of having an overdose event was 15 (5.30%) among 283 patients assigned to naltrexone, eight (1.51%) among 529 patients assigned to methadone, and 16 (1.15%) among 1,387 patients assigned to buprenorphine. Notably, 27.9% of patients assigned to extended-release naltrexone never initiated the medication, and their overdose rate was 8.9% (7/79), compared with 3.9% (8/204) among those who initiated naltrexone. Controlling for sociodemographic and time-varying medication adherence variables and baseline substance use, a proportional hazard model did not show a significant effect of naltrexone assignment. Significantly higher probabilities of experiencing an overdose event were observed among patients with baseline benzodiazepine use (hazard ratio=3.36, 95% CI=1.76, 6.42) and those who either were never inducted on their assigned study medication (hazard ratio=6.64, 95% CI=2.12, 19.54) or stopped their medication after initial induction (hazard ratio=4.04, 95% CI=1.54, 10.65). CONCLUSIONS Among patients with opioid use disorder seeking medication treatment, the risk of overdose events over the next 24 weeks is elevated among those who fail to initiate or discontinue medication and those who report benzodiazepine use at baseline.
Collapse
Affiliation(s)
- Laura Brandt
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Mei-Chen Hu
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Ying Liu
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Felipe Castillo
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Gabriel J Odom
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Raymond R Balise
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Daniel J Feaster
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Edward V Nunes
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| | - Sean X Luo
- Department of Psychology, City College of New York, New York (Brandt); Division on Substance Use Disorders, New York State Psychiatric Institute, New York (Castillo, Nunes, Luo); Department of Psychiatry, Columbia University Irving Medical Center, New York (Hu, Liu, Nunes, Luo); Department of Biostatistics, Florida International University, Miami (Odom); Division of Biostatistics, Department of Public Health Sciences, University of Miami, Miami (Balise, Feaster)
| |
Collapse
|
4
|
Qian G, Rao I, Humphreys K, Owens DK, Brandeau ML. Cost-effectiveness of office-based buprenorphine treatment for opioid use disorder. Drug Alcohol Depend 2023; 243:109762. [PMID: 36621198 PMCID: PMC9852082 DOI: 10.1016/j.drugalcdep.2022.109762] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/27/2022] [Accepted: 12/29/2022] [Indexed: 12/31/2022]
Abstract
AIM To assess the effectiveness and cost-effectiveness of office-based buprenorphine treatment (OBBT) in the U.S. DESIGN SETTING AND PARTICIPANTS We performed a model-based analysis of buprenorphine treatment provided in a primary care setting for the U.S. population with OUD. INTERVENTION Buprenorphine treatment provided in a primary care setting. MEASUREMENTS Fatal and nonfatal overdoses and deaths over five years, discounted lifetime quality-adjusted life years (QALYs), costs. FINDINGS For a cohort of 100,000 untreated individuals who enter OBBT, approximately 9350 overdoses would be averted over five years; of these, approximately 900 would have been fatal. OBBT compared to no treatment would yield 1.07 incremental lifetime QALYs per person at an incremental cost of $17,000 per QALY gained when using a healthcare perspective. If OBBT is half as effective and twice as expensive as assumed in the base case, the incremental cost when using a healthcare perspective is $25,500 per QALY gained. Using a limited societal perspective that additionally includes patient costs and criminal justice costs, OBBT is cost-saving compared to no treatment even under pessimistic assumptions about efficacy and cost. CONCLUSIONS Expansion of OBBT would be highly cost-effective compared to no treatment when considered from a healthcare perspective, and cost-saving when reduced criminal justice costs are included. Given the continuing opioid crisis in the U.S., expansion of this care option should be a high priority.
Collapse
Affiliation(s)
- Gary Qian
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA.
| | - Isabelle Rao
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| | - Keith Humphreys
- Center for Innovation to Implementation, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Douglas K Owens
- Department of Health Policy, School of Medicine, and Stanford Health Policy, Freeman-Spogli Institute for International Studies, Stanford University, Stanford, CA, USA
| | - Margaret L Brandeau
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| |
Collapse
|
5
|
Gottlieb DJ, Shiner B, Hoyt JE, Riblet NB, Peltzman T, Teja N, Watts BV. A comparison of mortality rates for buprenorphine versus methadone treatments for opioid use disorder. Acta Psychiatr Scand 2023; 147:6-15. [PMID: 35837885 DOI: 10.1111/acps.13477] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/24/2022] [Accepted: 07/12/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Mortality from opioid use disorder (OUD) can be reduced for patients who receive opioid agonist treatment (OAT). In the United States (US), OATs have different requirements including nearly daily visits to a dispensing facility for methadone but weekly to monthly prescriptions for buprenorphine. Our objective was to compare mortality rates for buprenorphine and methadone treatments among a large sample of US patients with OUD. METHODS We measured all-cause mortality, overdose mortality, and suicide mortality among US Department of Veterans Affairs patients with a diagnosis of OUD who received OAT from 2010 through 2019. We leveraged substantial and sustained regional variation in prescribing buprenorphine versus methadone as an instrumental variable (IV) and used inverse propensity of treatment weighting to balance relevant covariates across treatment groups. We compared mortality with true two-stage IV using both probit and linear probability models, as well as a reduced form IV model, adjusting for demographics and health status. RESULTS Our cohort consisted of 61,997 patients with OUD who received OAT, of whom 92.7% were male with a mean age of 47.9 (SD = 14.1) years. Patients were followed for a median of 2 (IQR = 1,4) calendar years. Across regional terciles, mean methadone prescribing was 4.8%, 19.5%, and 75.1% of OAT patients. All models identified significant reductions in all-cause and suicide mortality for buprenorphine relative to methadone. For example, predicted all-cause mortality from the probit model was 169.7 per 10,000 person years (95% CI, 157.8, 179.6) in the lowest tercile of methadone prescribing compared with 206.1 (95% CI, 196.0, 216.3) in the highest tercile. No difference was identified for overdose mortality. CONCLUSION We found significantly lower all-cause mortality and suicide mortality rates for buprenorphine compared with methadone. Our results support the less restrictive prescribing practices for buprenorphine as OAT in the US.
Collapse
Affiliation(s)
- Daniel J Gottlieb
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA
| | - Brian Shiner
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Jessica E Hoyt
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA
| | - Natalie B Riblet
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Talya Peltzman
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA
| | - Nikhil Teja
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Bradley V Watts
- Mental Health and Behavioral Science Service, White River Junction VA Medical Center, White River Junction, Vermont, USA.,Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| |
Collapse
|
6
|
Abstract
The incidence of opioid use disorder (OUD) and overdose deaths is rising yearly within the United States. Many cases are associated with illicitly manufactured fentanyl use. In addition to offering patients medications for OUD (methadone, buprenorphine, and naltrexone), the approach to this epidemic should involve increasing provider awareness and education about substance use disorders, expanding urine toxicology screens to test for fentanyl, and using low-threshold treatment approaches.
Collapse
|
7
|
Hazani HM, Naina Mohamed I, Muzaimi M, Mohamed W, Yahaya MF, Teoh SL, Pakri Mohamed RM, Mohamad Isa MF, Abdulrahman SM, Ramadah R, Kamaluddin MR, Kumar J. Goofballing of Opioid and Methamphetamine: The Science Behind the Deadly Cocktail. Front Pharmacol 2022; 13:859563. [PMID: 35462918 PMCID: PMC9021401 DOI: 10.3389/fphar.2022.859563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/18/2022] [Indexed: 11/23/2022] Open
Abstract
Globally, millions of people suffer from various substance use disorders (SUD), including mono-and polydrug use of opioids and methamphetamine. Brain regions such as the cingulate cortex, infralimbic cortex, dorsal striatum, nucleus accumbens, basolateral and central amygdala have been shown to play important roles in addiction-related behavioral changes. Clinical and pre-clinical studies have characterized these brain regions and their corresponding neurochemical changes in numerous phases of drug dependence such as acute drug use, intoxication, craving, withdrawal, and relapse. At present, many studies have reported the individual effects of opioids and methamphetamine. However, little is known about their combined effects. Co-use of these drugs produces effects greater than either drug alone, where one decreases the side effects of the other, and the combination produces a prolonged intoxication period or a more desirable intoxication effect. An increasing number of studies have associated polydrug abuse with poorer treatment outcomes, drug-related deaths, and more severe psychopathologies. To date, the pharmacological treatment efficacy for polydrug abuse is vague, and still at the experimental stage. This present review discusses the human and animal behavioral, neuroanatomical, and neurochemical changes underlying both morphine and methamphetamine dependence separately, as well as its combination. This narrative review also delineates the recent advances in the pharmacotherapy of mono- and poly drug-use of opioids and methamphetamine at clinical and preclinical stages.
Collapse
Affiliation(s)
- Hanis Mohammad Hazani
- Department of Physiology, Faculty of Medicine, The National University of Malaysia, Cheras, Malaysia
| | - Isa Naina Mohamed
- Department of Pharmacology, Faculty of Medicine, The National University of Malaysia, Cheras, Malaysia
| | - Mustapha Muzaimi
- Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, Malaysia
| | - Wael Mohamed
- Basic Medical Science Department, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Malaysia
- Faculty of Medicine, Department of Clinical Pharmacology, Menoufia University, Shebin El-Kom, Egypt
| | - Mohamad Fairuz Yahaya
- Department of Anatomy, Faculty of Medicine, National University of Malaysia, Cheras, Malaysia
| | - Seong Lin Teoh
- Department of Anatomy, Faculty of Medicine, National University of Malaysia, Cheras, Malaysia
| | | | | | | | - Ravi Ramadah
- National Anti-Drugs Agency Malaysia, Selangor, Malaysia
| | - Mohammad Rahim Kamaluddin
- Centre for Research in Psychology and Human Well-Being, Faculty of Social Sciences and Humanities, The National University of Malaysia, Bangi, Malaysia
| | - Jaya Kumar
- Department of Physiology, Faculty of Medicine, The National University of Malaysia, Cheras, Malaysia
- *Correspondence: Jaya Kumar,
| |
Collapse
|
8
|
Cochran G, Cole ES, Sharbaugh M, Nagy D, Gordon AJ, Gellad WF, Pringle J, Bear T, Warwick J, Drake C, Chang CCH, DiDomenico E, Kelley D, Donohue J. Provider and Patient-panel Characteristics Associated With Initial Adoption and Sustained Prescribing of Medication for Opioid Use Disorder. J Addict Med 2022; 16:e87-e96. [PMID: 33973921 DOI: 10.1097/adm.0000000000000859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Limited information is available regarding provider- and patient panel-level factors associated with primary care provider (PCP) adoption/prescribing of medication for opioid use disorder (MOUD). METHODS We assessed a retrospective cohort from 2015 to 2018 within the Pennsylvania Medicaid Program. Participants included PCPs who were Medicaid providers, with no history of MOUD provision, and who treated ≥10 Medicaid enrollees annually. We assessed initial MOUD adoption, defined as an index buprenorphine/buprenorphine-naloxone or oral/extended release naltrexone fill and sustained prescribing, defined as ≥1 MOUD prescription(s) for 3 consecutive quarters from the PCP. Independent variables included provider- and patient panel-level characteristics. RESULTS We identified 113 rural and 782 urban PCPs who engaged in initial adoption and 36 rural and 288 urban PCPs who engaged in sustained prescribing. Rural/urban PCPs who issued increasingly larger numbers of antidepressant and antipsychotic medication prescriptions had greater odds of initial adoption and sustained prescribing (P < 0.05) compared to those that did not prescribe these medications. Further, each additional patient out of 100 with opioid use disorder diagnosed before MOUD adoption increased the adjusted odds for initial adoption 2% to 4% (95% confidence interval [CI] = 1.01-1.08) and sustained prescribing by 4% to 7% (95% CI = 1.01-1.08). New Medicaid providers in rural areas were 2.52 (95% CI = 1.04-6.11) and in urban areas were 2.66 (95% CI = 1.94, 3.64) more likely to engage in initial MOUD adoption compared to established PCPs. CONCLUSIONS MOUD prescribing adoption was concentrated among PCPs prescribing mental health medications, caring for those with OUD, and new Medicaid providers. These results should be leveraged to test/implement interventions targeting MOUD adoption among PCPs.
Collapse
Affiliation(s)
- Gerald Cochran
- Department of Internal Medicine, University of Utah, City, UT (GC, AJG), Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA (ESC, MS, DN, TB, CD, JD), School of Medicine, University of Pittsburgh, Pittsburgh, PA (WFG, C-CH), Program Evaluation Research Unit, University of Pittsburgh, Pittsburgh, PA (JP, JW), School of Pharmacy, University of Pittsburgh, Pittsburgh, PA (JP), Pennsylvania Department of Drug and Alcohol Programs, Harrisburg, PA (ED), Pennsylvania Department of Human Services, Harrisburg, PA (DK)
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
9
|
Dahlberg S, Chang ET, Weiss SR, Dopart P, Gould E, Ritchey ME. Use of Contrave, Naltrexone with Bupropion, Bupropion, or Naltrexone and Major Adverse Cardiovascular Events: A Systematic Literature Review. Diabetes Metab Syndr Obes 2022; 15:3049-3067. [PMID: 36200062 PMCID: PMC9529009 DOI: 10.2147/dmso.s381652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 09/16/2022] [Indexed: 11/28/2022] Open
Abstract
Naltrexone/Bupropion extended release (ER; Contrave) is an extended-release, fixed-dose combination medication of naltrexone (8 mg) and bupropion (90 mg) for patients with obesity or overweight with at least one weight-related comorbidity. Obese and overweight patients with or without comorbidities are at increased cardiovascular (CV) risk. Due to the increased CV risk profile in this patient population, this systematic literature review was conducted to assess human studies reporting major adverse CV events (MACE) and other CV events. A priori eligibility criteria included clinical studies (randomized and observational) published from January 1, 2012, to September 30, 2021, with data comparing users of naltrexone/bupropion ER, naltrexone with bupropion, bupropion without naltrexone, or naltrexone without bupropion versus comparator groups (placebo or other treatments), and with sufficient information to determine the frequency of MACE or other CV adverse events by treatment group. Among 2539 English-language articles identified, 70 articles met the eligibility criteria: seven studies of naltrexone/bupropion ER or naltrexone with bupropion, 32 studies of bupropion, and 31 studies of naltrexone. No studies reported an increased risk of MACE among users of naltrexone/bupropion ER, naltrexone with bupropion, or bupropion or naltrexone individually compared with nonusers. One-half of the available studies (n = 35) reported no (zero) CV events and the other half (n = 35) reported that a non-zero frequency of CV events occurred. Four studies reported data on MACE, including three studies of bupropion and one study of naltrexone/bupropion ER. For composite MACE and its components, the difference in proportions between naltrexone/bupropion ER-, bupropion-, or naltrexone-treated patients compared with active comparators or placebo-treated patients did not exceed 2.5%. In conclusion, the available human evidence does not indicate an increased risk of CV events or MACE following use of naltrexone/bupropion ER, naltrexone with bupropion, or the individual components.
Collapse
Affiliation(s)
| | | | | | | | - Errol Gould
- Currax Pharmaceuticals LLC., Brentwood, TN, 37027, USA
- Correspondence: Errol Gould, Currax Pharmaceuticals LLC, 155 Franklin Road, Suite 450, Brentwood, TN, 37027, USA, Email
| | | |
Collapse
|
10
|
Santo T, Clark B, Hickman M, Grebely J, Campbell G, Sordo L, Chen A, Tran LT, Bharat C, Padmanathan P, Cousins G, Dupouy J, Kelty E, Muga R, Nosyk B, Min J, Pavarin R, Farrell M, Degenhardt L. Association of Opioid Agonist Treatment With All-Cause Mortality and Specific Causes of Death Among People With Opioid Dependence: A Systematic Review and Meta-analysis. JAMA Psychiatry 2021; 78:979-993. [PMID: 34076676 PMCID: PMC8173472 DOI: 10.1001/jamapsychiatry.2021.0976] [Citation(s) in RCA: 243] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/01/2021] [Indexed: 12/11/2022]
Abstract
Importance Mortality among people with opioid dependence is higher than that of the general population. Opioid agonist treatment (OAT) is an effective treatment for opioid dependence; however, there has not yet been a systematic review on the relationship between OAT and specific causes of mortality. Objective To estimate the association of time receiving OAT with mortality. Data Sources The Embase, MEDLINE, and PsycINFO databases were searched through February 18, 2020, including clinical trial registries and previous Cochrane reviews. Study Selection All observational studies that collected data on all-cause or cause-specific mortality among people with opioid dependence while receiving and not receiving OAT were included. Randomized clinical trials (RCTs) were also included. Data Extraction and Synthesis This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Data on study, participant, and treatment characteristics were extracted; person-years, all-cause mortality, and cause-specific mortality were calculated. Crude mortality rates and rate ratios (RRs) were pooled using random-effects meta-analyses. Main Outcomes and Measures Overall all-cause and cause-specific mortality both by setting and by participant characteristics. Methadone and buprenorphine OAT were evaluated specifically. Results Fifteen RCTs including 3852 participants and 36 primary cohort studies including 749 634 participants were analyzed. Among the cohort studies, the rate of all-cause mortality during OAT was more than half of the rate seen during time out of OAT (RR, 0.47; 95% CI, 0.42-0.53). This association was consistent regardless of patient sex, age, geographic location, HIV status, and hepatitis C virus status and whether drugs were taken through injection. Associations were not different for methadone (RR, 0.47; 95% CI, 0.41-0.54) vs buprenorphine (RR, 0.34; 95% CI, 0.26-0.45). There was lower risk of suicide (RR, 0.48; 95% CI, 0.37-0.61), cancer (RR, 0.72; 95% CI, 0.52-0.98), drug-related (RR, 0.41; 95% CI, 0.33-0.52), alcohol-related (RR, 0.59; 95% CI, 0.49-0.72), and cardiovascular-related (RR, 0.69; 95% CI, 0.60-0.79) mortality during OAT. In the first 4 weeks of methadone treatment, rates of all-cause mortality and drug-related poisoning were almost double the rates during the remainder of OAT (RR, 2.01; 95% CI, 1.55-5.09) but not for buprenorphine (RR, 0.58; 95% CI, 0.18-1.85). All-cause mortality was 6 times higher in the 4 weeks after OAT cessation (RR, 6.01; 95% CI, 4.32-8.36), remaining double the rate for the remainder of time not receiving OAT (RR, 1.81; 95% CI, 1.50-2.18). Opioid agonist treatment was associated with a lower risk of mortality during incarceration (RR, 0.06; 95% CI, 0.01-0.46) and after release from incarceration (RR, 0.09; 95% CI, 0.02-0.56). Conclusions and Relevance This systematic review and meta-analysis found that OAT was associated with lower rates of mortality. However, access to OAT remains limited, and coverage of OAT remains low. Work to improve access globally may have important population-level benefits.
Collapse
Affiliation(s)
- Thomas Santo
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| | - Brodie Clark
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| | - Matt Hickman
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Jason Grebely
- Kirby Institute, University of New South Wales, Sydney, Sydney, Australia
| | - Gabrielle Campbell
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
- University of the Sunshine Coast, Sunshine Coast, Queensland, Australia
| | - Luis Sordo
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Complutense University, Madrid, Spain
| | - Aileen Chen
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
- Clinical Research Unit for Anxiety and Depression, St Vincent's Hospital, Sydney, New South Wales, Australia
| | - Lucy Thi Tran
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| | - Chrianna Bharat
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| | | | - Grainne Cousins
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Julie Dupouy
- University Department of General Medicine, University of Toulouse, Faculty of Medicine, Toulouse, France
- Inserm UMR1027, University of Toulouse III, Faculty of Medicine, Toulouse, France
| | - Erin Kelty
- The School of Population & Global Health, The University of Western Australia, Perth, Australia
| | - Roberto Muga
- Department of Internal Medicine, Germans Trias i Pujol-IGTP University Hospital, Autonomous University of Barcelona, Barcelona, Spain
| | - Bohdan Nosyk
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada
- Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Jeong Min
- British Columbia Centre for Excellence in HIV/AIDS, Vancouver, British Columbia, Canada
| | - Raimondo Pavarin
- Epidemiological Monitoring Center on Addiction, Azienda Unità Sanitaria Locale Bologna, Mental Health Dipartimento Salute Mentale – Dipendenze Patologiche, Bologna, Italy
- Italian Society on Addiction, Milan, Italy
| | - Michael Farrell
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Sydney, Australia
| |
Collapse
|
11
|
Fairley M, Humphreys K, Joyce VR, Bounthavong M, Trafton J, Combs A, Oliva EM, Goldhaber-Fiebert JD, Asch SM, Brandeau ML, Owens DK. Cost-effectiveness of Treatments for Opioid Use Disorder. JAMA Psychiatry 2021; 78:767-777. [PMID: 33787832 PMCID: PMC8014209 DOI: 10.1001/jamapsychiatry.2021.0247] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
IMPORTANCE Opioid use disorder (OUD) is a significant cause of morbidity and mortality in the US, yet many individuals with OUD do not receive treatment. OBJECTIVE To assess the cost-effectiveness of OUD treatments and association of these treatments with outcomes in the US. DESIGN AND SETTING This model-based cost-effectiveness analysis included a US population with OUD. INTERVENTIONS Medication-assisted treatment (MAT) with buprenorphine, methadone, or injectable extended-release naltrexone; psychotherapy (beyond standard counseling); overdose education and naloxone distribution (OEND); and contingency management (CM). MAIN OUTCOMES AND MEASURES Fatal and nonfatal overdoses and deaths throughout 5 years, discounted lifetime quality-adjusted life-years (QALYs), and costs. RESULTS In the base case, in the absence of treatment, 42 717 overdoses (4132 fatal, 38 585 nonfatal) and 12 660 deaths were estimated to occur in a cohort of 100 000 patients over 5 years, and 11.58 discounted lifetime QALYs were estimated to be experienced per person. An estimated reduction in overdoses was associated with MAT with methadone (10.7%), MAT with buprenorphine or naltrexone (22.0%), and when combined with CM and psychotherapy (range, 21.0%-31.4%). Estimated deceased deaths were associated with MAT with methadone (6%), MAT with buprenorphine or naltrexone (13.9%), and when combined with CM, OEND, and psychotherapy (16.9%). MAT yielded discounted gains of 1.02 to 1.07 QALYs per person. Including only health care sector costs, methadone cost $16 000/QALY gained compared with no treatment, followed by methadone with OEND ($22 000/QALY gained), then by buprenorphine with OEND and CM ($42 000/QALY gained), and then by buprenorphine with OEND, CM, and psychotherapy ($250 000/QALY gained). MAT with naltrexone was dominated by other treatment alternatives. When criminal justice costs were included, all forms of MAT (with buprenorphine, methadone, and naltrexone) were associated with cost savings compared with no treatment, yielding savings of $25 000 to $105 000 in lifetime costs per person. The largest cost savings were associated with methadone plus CM. Results were qualitatively unchanged over a wide range of sensitivity analyses. An analysis using demographic and cost data for Veterans Health Administration patients yielded similar findings. CONCLUSIONS AND RELEVANCE In this cost-effectiveness analysis, expanded access to MAT, combined with OEND and CM, was associated with cost-saving reductions in morbidity and mortality from OUD. Lack of widespread MAT availability limits access to a cost-saving medical intervention that reduces morbidity and mortality from OUD. Opioid overdoses in the US likely reached a record high in 2020 because of COVID-19 increasing substance use, exacerbating stress and social isolation, and interfering with opioid treatment. It is essential to understand the cost-effectiveness of alternative forms of MAT to treat OUD.
Collapse
Affiliation(s)
- Michael Fairley
- Department of Management Science and Engineering, Stanford University, Stanford, California
| | - Keith Humphreys
- Center for Innovation to Implementation, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California
| | - Vilija R. Joyce
- Veterans Affairs Health Services Research and Development Health Economics Resource Center, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California
| | - Mark Bounthavong
- Veterans Affairs Health Services Research and Development Health Economics Resource Center, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California
| | - Jodie Trafton
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California,Veterans Affairs Program Evaluation and Resource Center, Office of Mental Health and Suicide Prevention, VA Central Office, US Department of Veterans Affairs, Palo Alto, California
| | - Ann Combs
- Veterans Affairs Program Evaluation and Resource Center, Office of Mental Health and Suicide Prevention, VA Central Office, US Department of Veterans Affairs, Palo Alto, California
| | - Elizabeth M. Oliva
- Center for Innovation to Implementation, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California
| | - Jeremy D. Goldhaber-Fiebert
- Stanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, California
| | - Steven M. Asch
- Center for Innovation to Implementation, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California,Department of Medicine, Stanford University, Stanford, California
| | - Margaret L. Brandeau
- Department of Management Science and Engineering, Stanford University, Stanford, California
| | - Douglas K. Owens
- Center for Innovation to Implementation, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, California,Stanford Health Policy, Centers for Health Policy and Primary Care and Outcomes Research, Stanford University, Stanford, California,Department of Medicine, Stanford University, Stanford, California
| |
Collapse
|
12
|
New and Emerging Opioid Overdose Risk Factors. CURRENT ADDICTION REPORTS 2021; 8:319-329. [PMID: 33907663 PMCID: PMC8061156 DOI: 10.1007/s40429-021-00368-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2021] [Indexed: 11/16/2022]
Abstract
Purpose of Review The purpose of this review is to provide a review of the current literature surrounding opioid overdose risk factors, focusing on relatively new factors in the opioid crisis. Recent Findings Both a market supply driving force and a subpopulation of people who use opioids actively seeking out fentanyl are contributing to its recent proliferation in the opioid market. Harm reduction techniques such as fentanyl testing strips, naloxone education and distribution, drug sampling behaviors, and supervised injection facilities are all seeing expanded use with increasing amounts of research being published regarding their effectiveness. Availability and use of interventions such as medication for opioid use disorder and peer recovery coaching programs are also on the rise to prevent opioid overdose. Summary The opioid epidemic is an evolving crisis, necessitating continuing research to identify novel overdose risk factors and the development of new interventions targeting at-risk populations.
Collapse
|
13
|
Herlinger K, Lingford-Hughes A. Addressing unmet needs in opiate dependence: supporting detoxification and advances in relapse prevention. BJPSYCH ADVANCES 2021. [DOI: 10.1192/bja.2020.98] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
SUMMARY
Despite record-breaking numbers of opiate related deaths in the UK in 2019, pharmacological management of opiate dependence has evolved little since the advent of methadone in 1965. Along with harm minimisation and psychosocial interventions, the mainstay of pharmacological treatment remains opioid substitution therapy (OST) using methadone or buprenorphine, with many patients receiving OST for many years. Even with these treatments, opiate users continue to face mortality risks 12 times higher than the general population, and emerging evidence suggests that individuals who remain on long-term OST present with a range of physical and cognitive impairments. Therefore, with a growing ageing opiate dependent population who would benefit from detoxification from OST, this article provides an overview of the current state of opiate dependence in clinical practice, explores the reasons why availability and acceptability of detoxification pathways are declining, and discusses emerging pharmacological therapies that could provide benefit in relapse prevention.
Collapse
|
14
|
Evaluation of Opioid Overdose Reports in Patients Treated with Extended-Release Naltrexone: Postmarketing Data from 2006 to 2018. Drug Saf 2020; 44:351-359. [PMID: 33258068 PMCID: PMC7892734 DOI: 10.1007/s40264-020-01020-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2020] [Indexed: 10/26/2022]
Abstract
INTRODUCTION After treatment with naltrexone extended-release injectable suspension (XR-NTX), a µ-opioid receptor antagonist, opioid tolerance is reduced from pretreatment baseline. Patients may be vulnerable to opioid overdose if they attempt to override the blockade during treatment, at the end of a dosing interval, after missing a dose, or after discontinuing treatment. OBJECTIVE We analyzed postmarketing data to characterize reporting rates of opioid overdose during treatment with and after discontinuation of XR-NTX. METHODS Postmarketing adverse event reports within the XR-NTX safety database, received 2006-2018, for patients treated with XR-NTX for any indication were reviewed for opioid overdose cases. Assessable cases were categorized by timing of the event from the last dose of XR-NTX (latency): ≤28 days (on treatment), 29-56 days, and >56 days from last dose of XR-NTX. Within each latency group, cases were further classified as serious and, of those, cases that had a fatal outcome. RESULTS During the 12-year period, an estimated 495,602 patients received XR-NTX. Opioid overdose was reported in 161 cases; of these, 66 contained sufficient information to determine latency. Reporting rates of opioid overdose per 10,000 patients treated were similar among latency groups: 0.54 for ≤28 days (0.24 fatal), 0.34 for 29-56 days (0.16 fatal), and 0.44 for >56 days (0.40 fatal) from the last dose of XR-NTX. CONCLUSIONS Over the 12-year period, the reporting rates of opioid overdose were similar during treatment with or after discontinuation of XR-NTX and <10/10,000 patients exposed. Our findings are limited by the nature of spontaneously reported safety data.
Collapse
|
15
|
Kelty E, Hulse G, Joyce D, Preen DB. Impact of Pharmacological Treatments for Opioid Use Disorder on Mortality. CNS Drugs 2020; 34:629-642. [PMID: 32215842 DOI: 10.1007/s40263-020-00719-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The use of pharmacological treatments for opioid use disorders, including methadone, buprenorphine and naltrexone has been associated with a reduction in mortality compared with illicit opioid use. However, these treatments can also contribute significantly to the risk of death. The opioid agonists methadone and buprenorphine achieve clinical efficacy in patients with an opioid use disorder through suppressing craving and diminishing the effectiveness of illicit opioid doses, while the antagonist naltrexone blocks the action of opioids. Pharmacological differences between opioid pharmacotherapies then create different temporal patterns of protection and mortality risk, different risks of relapse to illicit opioid use, and variations in direct and indirect toxicity, which are revealed in clinical and epidemiological studies. Induction onto methadone and the cessation of oral naltrexone treatment are associated with an elevated risk of opioid poisoning, which is not apparent in patients treated with buprenorphine or sustained-release naltrexone. Beyond drug-related mortality, these pharmacotherapies can impact a participant's risk of death. Buprenorphine may also have some advantages over methadone in patients with depressive disorders or cardiovascular abnormalities. Naltrexone, which is also commonly prescribed to manage problem alcohol use, may reduce deaths in chronic co-alcohol users. Understanding these pharmacologically driven patterns then guides the judicious choice of drug and dosing schedule and the proactive risk management that is crucial to minimising the risk of death in treatment.
Collapse
Affiliation(s)
- Erin Kelty
- School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia.
| | - Gary Hulse
- Division of Psychiatry, Medical School, The University of Western Australia, Perth, WA, Australia.,Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - David Joyce
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - David B Preen
- School of Population and Global Health, The University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia
| |
Collapse
|
16
|
Hassan R, Pike See C, Sreenivasan S, Mansor SM, Müller CP, Hassan Z. Mitragynine Attenuates Morphine Withdrawal Effects in Rats-A Comparison With Methadone and Buprenorphine. Front Psychiatry 2020; 11:411. [PMID: 32457670 PMCID: PMC7221179 DOI: 10.3389/fpsyt.2020.00411] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 04/22/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Opiate addiction is a major health problem in many countries. A crucial component of the medical treatment is the management of highly aversive opiate withdrawal signs, which may otherwise lead to resumption of drug taking. In a medication-assisted treatment (MAT), methadone and buprenorphine have been implemented as substitution drugs. Despite MAT effectiveness, there are still limitations and side effects of using methadone and buprenorphine. Thus, other alternative therapies with less side effects, overdosing, and co-morbidities are desired. One of the potential pharmacotherapies may involve kratom's major indole alkaloid, mitragynine, since kratom (Mitragyna speciosa Korth.) preparations have been reported to alleviate opiate withdrawal signs in self-treatment in Malaysian opiate addicts. METHODS Based on the morphine withdrawal model, rats were morphine treated with increasing doses from 10 to 50 mg/kg twice daily over a period of 6 days. The treatment was discontinued on day 7 in order to induce a spontaneous morphine abstinence. The withdrawal signs were measured daily after 24 h of the last morphine administration over a period of 28 abstinence days. In rats that developed withdrawal signs, a drug replacement treatment was given using mitragynine, methadone, or buprenorphine and the global withdrawal score was evaluated. RESULTS The morphine withdrawal model induced profound withdrawal signs for 16 days. Mitragynine (5-30 mg/kg; i.p.) was able to attenuate acute withdrawal signs in morphine dependent rats. On the other hand, smaller doses of methadone (0.5-2 mg/kg; i.p.) and buprenorphine (0.4-1.6 mg/kg; i.p.) were necessary to mitigate these effects. CONCLUSIONS These data suggest that mitragynine may be a potential drug candidate for opiate withdrawal treatment.
Collapse
Affiliation(s)
- Rahimah Hassan
- Centre for Drug Research, Universiti Sains Malaysia, Minden, Malaysia
| | - Cheah Pike See
- Department of Human Anatomy, Faculty of Medicine and Health Sciences, University Putra Malaysia, Serdang, Malaysia
| | - Sasidharan Sreenivasan
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Minden, Malaysia
| | - Sharif M Mansor
- Centre for Drug Research, Universiti Sains Malaysia, Minden, Malaysia
| | - Christian P Müller
- Section of Addiction Medicine, Department of Psychiatry and Psychotherapy, University Clinic, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany
| | - Zurina Hassan
- Centre for Drug Research, Universiti Sains Malaysia, Minden, Malaysia.,Addiction Behaviour and Neuroplasticity Laboratory, National Neuroscience Institute, Singapore, Singapore
| |
Collapse
|
17
|
Kelty E, Hulse G, Joyce D. A comparison of blood toxicology in fatalities involving alcohol and other drugs in patients with an opioid use disorder treated with methadone, buprenorphine, and implant naltrexone. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2019; 46:241-250. [DOI: 10.1080/00952990.2019.1698587] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Erin Kelty
- School of Population and Global Health, University of Western Australia, Crawley, Western Australia
| | - Gary Hulse
- Division of Psychiatry, University of Western Australia, Crawley, Western Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia
| | - David Joyce
- School of Medicine, University of Western Australia, Crawley, Western Australia
- School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia
| |
Collapse
|
18
|
Mannelli P, Wu LT. Opioid use disorder deaths and the effects of medication therapy. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2019; 45:227-229. [PMID: 30849238 PMCID: PMC6667376 DOI: 10.1080/00952990.2019.1580289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 02/01/2019] [Accepted: 02/05/2019] [Indexed: 10/27/2022]
Affiliation(s)
- Paolo Mannelli
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Li-Tzy Wu
- Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
- Department of Medicine, Division of General Internal Medicine, Duke University Medical Center, Durham, NC, USA
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
- Center for Child and Family Policy, Sanford School of Public Policy, Duke University, Durham, NC, USA
| |
Collapse
|