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Weber AN, Trebach J, Brenner MA, Thomas MM, Bormann NL. Managing Opioid Withdrawal Symptoms During the Fentanyl Crisis: A Review. Subst Abuse Rehabil 2024; 15:59-71. [PMID: 38623317 PMCID: PMC11016949 DOI: 10.2147/sar.s433358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 04/05/2024] [Indexed: 04/17/2024] Open
Abstract
Illicitly manufactured fentanyl (IMF) is a significant contributor to the increasing rates of overdose-related deaths. Its high potency and lipophilicity can complicate opioid withdrawal syndromes (OWS) and the subsequent management of opioid use disorder (OUD). This scoping review aimed to collate the current OWS management of study populations seeking treatment for OWS and/or OUD directly from an unregulated opioid supply, such as IMF. Therefore, the focus was on therapeutic interventions published between January 2010 and November 2023, overlapping with the period of increasing IMF exposure. A health science librarian conducted a systematic search on November 13, 2023. A total of 426 studies were screened, and 173 studies were reviewed at the full-text level. Forty-nine studies met the inclusion criteria. Buprenorphine and naltrexone were included in most studies with the goal of transitioning to a long-acting injectable version. Various augmenting agents were tested (buspirone, memantine, suvorexant, gabapentin, and pregabalin); however, the liberal use of adjunctive medication and shortened timelines to initiation had the most consistently positive results. Outside of FDA-approved medications for OUD, lofexidine, gabapentin, and suvorexant have limited evidence for augmenting opioid agonist initiation. Trials often have low retention rates, particularly when opioid agonist washout is required. Neurostimulation strategies were promising; however, they were developed and studied early. Precipitated withdrawal is a concern; however, the rates were low and adequately mitigated or managed with low- or high-dose buprenorphine induction. Maintenance treatment continues to be superior to detoxification without continued management. Shorter induction protocols allow patients to initiate evidence-based treatment more quickly, reducing the use of illicit or non-prescribed substances.
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Affiliation(s)
| | - Joshua Trebach
- Department of Emergency Medicine, University of Iowa, Iowa City, IA, USA
| | - Marielle A Brenner
- Department of Emergency Medicine, University of Iowa, Iowa City, IA, USA
| | | | - Nicholas L Bormann
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
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Liu PS, Kuo TY, Chen IC, Lee SW, Chang TG, Chen HL, Chen JP. Optimizing methadone dose adjustment in patients with opioid use disorder. Front Psychiatry 2024; 14:1258029. [PMID: 38260800 PMCID: PMC10800821 DOI: 10.3389/fpsyt.2023.1258029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction Opioid use disorder is a cause for concern globally. This study aimed to optimize methadone dose adjustments using mixed modeling and machine learning. Methods This retrospective study was conducted at Taichung Veterans General Hospital between January 1, 2019, and December 31, 2020. Overall, 40,530 daily dosing records and 1,508 urine opiate test results were collected from 96 patients with opioid use disorder. A two-stage approach was used to create a model of the optimized methadone dose. In Stage 1, mixed modeling was performed to analyze the association between methadone dose, age, sex, treatment duration, HIV positivity, referral source, urine opiate level, last methadone dose taken, treatment adherence, and likelihood of treatment discontinuation. In Stage 2, machine learning was performed to build a model for optimized methadone dose. Results Likelihood of discontinuation was associated with reduced methadone doses (β = 0.002, 95% CI = 0.000-0.081). Correlation analysis between the methadone dose determined by physicians and the optimized methadone dose showed a mean correlation coefficient of 0.995 ± 0.003, indicating that the difference between the methadone dose determined by physicians and that determined by the model was within the allowable range (p < 0.001). Conclusion We developed a model for methadone dose adjustment in patients with opioid use disorders. By integrating urine opiate levels, treatment adherence, and likelihood of treatment discontinuation, the model could suggest automatic adjustment of the methadone dose, particularly when face-to-face encounters are impractical.
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Affiliation(s)
- Po-Shen Liu
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Teng-Yao Kuo
- Fundamental General Education Center, National Chinyi University of Technology, Taiping, Taiwan
| | - I-Chun Chen
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
- Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Shu-Wua Lee
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ting-Gang Chang
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Hou-Liang Chen
- Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan
| | - Jun-Peng Chen
- Biostatistics Task Force of Taichung Veterans General Hospital, Taichung, Taiwan
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Bodnar RJ. Endogenous opiates and behavior: 2021. Peptides 2023; 164:171004. [PMID: 36990387 DOI: 10.1016/j.peptides.2023.171004] [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] [Received: 02/26/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023]
Abstract
This paper is the forty-fourth consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2021 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonizts and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).
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Affiliation(s)
- Richard J Bodnar
- Department of Psychology and Neuropsychology Doctoral Sub-Program, Queens College, City University of New York, CUNY, 65-30 Kissena Blvd., Flushing, NY 11367, USA.
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Chalabianloo F, Høiseth G, Vold JH, Johansson KA, Kringen MK, Dalgard O, Ohldieck C, Druckrey-Fiskaaen KT, Aas C, Løberg EM, Bramness JG, Fadnes LT. Impact of liver fibrosis and clinical characteristics on dose-adjusted serum methadone concentrations. J Addict Dis 2023; 41:53-63. [PMID: 35356868 DOI: 10.1080/10550887.2022.2057140] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND There is limited knowledge on the causes of large variations in serum methadone concentrations and dose requirements. OBJECTIVES We investigated the impact of the degree of liver fibrosis on dose-adjusted steady-state serum methadone concentrations. METHODS We assessed the clinical and laboratory data of 155 Norwegian patients with opioid use disorder undergoing methadone maintenance treatment in outpatient clinics in the period 2016-2020. A possible association between the degree of liver fibrosis and dose-adjusted serum methadone concentration was explored using a linear mixed-model analysis. RESULTS When adjusted for age, gender, body mass index, and genotypes of CYP2B6 and CYP3A5, the concentration-to-dose ratio of methadone did not increase among the participants with liver fibrosis (Coefficient: 0.70; 95% CI: -2.16, 3.57; P: 0.631), even among those with advanced cirrhosis (-0.50; -4.59, 3.59; 0.810). CONCLUSIONS Although no correlation was found between the degree of liver stiffness and dose-adjusted serum methadone concentration, close clinical monitoring should be considered, especially among patients with advanced cirrhosis. Still, serum methadone measurements can be considered a supplement to clinical assessments, taking into account intra-individual variations.
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Affiliation(s)
- Fatemeh Chalabianloo
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Gudrun Høiseth
- Department of Forensic Medicine, Oslo University Hospital, Oslo, Norway.,Center for psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway.,Norwegian Center for Addiction Research, University of Oslo, Oslo, Norway
| | - Jørn Henrik Vold
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Kjell Arne Johansson
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | | | - Olav Dalgard
- Infectious Disease Department, Akershus University Hospital, Akerhus, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christian Ohldieck
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway
| | - Karl Trygve Druckrey-Fiskaaen
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Christer Aas
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Else-Marie Løberg
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.,NORMENT Centre of Excellence, Haukeland University Hospital, Bergen, Norway.,Faculty of Psychology, Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | - Jørgen G Bramness
- Institute of Clinical Medicine, UiT - Norway's Arctic University, Tromsø, Norway.,Department of Alcohol, Tobacco and Drugs, Norwegian Institute of Public Health, Oslo, Norway
| | - Lars Thore Fadnes
- Department of Addiction Medicine, Haukeland University Hospital, Bergen, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
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