The Potential of Scopolamine as an Antidepressant in Major Depressive Disorder: A Systematic Review of Randomized Controlled Trials
Abstract
1. Introduction
2. Methods
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- U.S. Department of Veterans Affairs. U.S. Department of Defense. VA/DoD Clinical Practice Guideline. In The Management of Major Depressive Disorder; U.S. Government Printing Office: Washington, DC, USA, 2022. [Google Scholar]
- American Psychological Association. Clinical Practice Guideline for the Treatment of Depression across Three Age Cohorts. 2019. Available online: https://www.apa.org/depression-guideline (accessed on 6 July 2023).
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed.; American Psychiatric Association: Washington, DC, USA, 2013. [Google Scholar]
- Wells, K.B.; Sherbourne, C.D. Functioning and utility of current health of patients with depression or chronic medical conditions in managed, primary care practices. Arch. Gen. Psychiatry 1999, 56, 897–904. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Brenes, G.A. Anxiety, depression, and quality of life in primary care patients. Prim. Care Companion J. Clin. Psychiatry 2007, 9, 437–443. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Tanaka, M.; Chen, C. Editorial: Towards a mechanistic understanding of depression, anxiety, and their comorbidity: Perspectives from cognitive neuroscience. Front. Behav. Neurosci. 2023, 17, 1268156. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sobolewska-Nowak, J.; Wachowska, K.; Nowak, A.; Orzechowska, A.; Szulc, A.; Płaza, O.; Gałecki, P. Exploring the Heart–Mind Connection: Unraveling the Shared Pathways between Depression and Cardiovascular Diseases. Biomedicines 2023, 11, 1903. [Google Scholar] [CrossRef] [Scilit]
- Rajan, S.; McKee, M.; Rangarajan, S.; Bangdiwala, S.; Rosengren, A.; Gupta, R.; Raman Kutty, V.; Wielgosz, A.; Lear, S.; AlHabib, K.F.; et al. Association of Symptoms of Depression with Cardiovascular Disease and Mortality in Low-, Middle-, and High-Income Countries. JAMA Psychiatry 2020, 77, 1052–1063. [Google Scholar] [CrossRef] [Scilit]
- Cañas-González, B.; Fernández-Nistal, A.; Ramírez, J.M.; Martínez-Fernández, V. Influence of Stress and Depression on the Immune System in Patients Evaluated in an Anti-aging Unit. Front. Psychol. 2020, 11, 1844. [Google Scholar] [CrossRef] [Scilit]
- Machado, M.O.; Veronese, N.; Sanches, M.; Stubbs, B.; Koyanagi, A.; Thompson, T.; Tzoulaki, I.; Solmi, M.; Vancampfort, D.; Schuch, F.B.; et al. The association of depression and all-cause and cause-specific mortality: An umbrella review of systematic reviews and meta-analyses. BMC Med. 2018, 16, 112. [Google Scholar] [CrossRef] [Scilit]
- Institute of Health Metrics and Evaluation. Global Health Data Exchange (GHDx). Available online: https://vizhub.healthdata.org/gbd-results/ (accessed on 6 July 2023).
- World Health Organization. Available online: https://www.who.int/news-room/fact-sheets/detail/depression (accessed on 6 July 2023).
- COVID-19 Mental Disorders Collaborators. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 2021, 398, 1700–1712. [Google Scholar] [CrossRef] [Scilit]
- World Health Organization. Available online: https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide (accessed on 6 July 2023).
- Ettman, C.K.; Abdalla, S.M.; Cohen, G.H.; Sampson, L.; Viver, P.K.; Galea, S.G. Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic. JAMA Netw. Open 2020, 3, e2019686. [Google Scholar] [CrossRef] [Scilit]
- Culpepper, L.; Higa, S.; Martin, A.; Gillard, P.; Parikh, M.; Harrington, A. Direct and Indirect Costs Associated with Major Depressive Disorder. Value Health 2022, 25, S296. [Google Scholar] [CrossRef] [Scilit]
- Chow, W.; Doane, M.J.; Sheehan, J.; Alphs, L.; Le, H. Economic Burden Among Patients with Major Depressive Disorder: An Analysis of Healthcare Resource Use, Work Productivity, and Direct and Indirect Costs by Depression Severity. Am. J. Manag. Care 2019, 1–4. Available online: https://cdn.sanity.io/files/0vv8moc6/ajmc/00b6df5f89156e2f418a8a70ad29cbc7e3698d81.pdf/AJMC_A896_02_2019_EconomicBurden.pdf (accessed on 13 September 2023).
- Braund, T.A.; Tillman, G.; Palmer, D.M.; Gordon, E.; Rush, A.J.; Harris, A.W.F. Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: An iSPOT-D report. Transl. Psychiatry 2021, 11, 417. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Horowitz, M.A.; Framer, A.; Hengartner, M.P.; Sorensen, A.; Taylor, D. Estimating Risk of Antidepressant Withdrawal from a Review of Published Data. CNS Drugs 2023, 37, 143–157. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Healy, D. The Antidepressant Era; Harvard University Press: Cambridge, MA, USA; London, UK, 1999. [Google Scholar]
- McIntyre, M.S. Targeting unmet needs in the treatment of major depressive disorder. Curr Psychiatry 2019, 18, S1–S4. [Google Scholar]
- Berman, R.M.; Cappiello, A.; Anand, A.; Oren, D.A.; Heninger, G.R.; Charney, D.S.; Krystal, J.H. Antidepressant effects of ketamine in depressed patients. Biol Psychiatry 2000, 47, 351–354. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Li, L.; Vlisides, P.E. Ketamine: 50 Years of Modulating the Mind. Front. Hum. Neurosci. 2016, 10, 612. [Google Scholar] [CrossRef] [Scilit]
- Janowsky, D.S.; el Yousef, M.K.; Davis, J.M.; Sekerke, H.J. A cholinergic-adrenergic hypothesis of mania and depression. Lancet 1972, 2, 632–635. [Google Scholar] [CrossRef] [Scilit]
- Risch, S.C.; Kalin, N.H.; Janowsky, D.S. Cholinergic challenges in affective illness: Behavioral and neuroendocrine correlates. J. Clin. Psychopharmacol. 1981, 1, 186–192. [Google Scholar] [CrossRef] [Scilit]
- Furey, M.L.; Drevets, W.C. Antidepressant efficacy of the antimuscarinic drug scopolamine—A randomized, placebo-controlled clinical trial. Arch. Gen. Psychiatry 2006, 63, 1121–1129. [Google Scholar] [CrossRef] [Scilit]
- Drevets, W.C.; Furey, M.L. Replication of Scopolamine’s Antidepressant Efficacy in Major Depressive Disorder: A Randomized, Placebo-Controlled Clinical Trial. Biol. Psychiatry 2010, 67, 432–438. [Google Scholar] [CrossRef] [Scilit]
- Johnson, C.R.; Kangas, B.D.; Jutkiewicz, E.M.; Bergman, J.; Coop, A. Drug Design Targeting the Muscarinic Receptors and the Implications in Central Nervous System Disorders. Biomedicines 2022, 10, 398. [Google Scholar] [CrossRef] [Scilit]
- Corsetti, M.; Forestier, S.; Jimenez, M. Hyoscine butylbromide mode of action on bowel motility: From pharmacology to clinical practice. Neurogastroenterol. Motil. 2023, 35, e14451. [Google Scholar] [CrossRef] [Scilit]
- Drugbank Online. Available online: https://go.drugbank.com/drugs/DB00747 (accessed on 6 July 2023).
- Wess, J. Molecular Biology of Muscarinic Acetylcholine Receptors. Crit. Rev. Neurobiol. 2023, 10, 69–99. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Nathanson, N.M. A multiplicity of muscarinic mechanisms: Enough signaling pathways to take your breath away. Proc. Natl. Acad. Sci. USA 2000, 97, 6245–6247. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Voleti, B.; Navarria, A.; Liu, R.-J.; Banasr, M.; Li, N.; Terwilliger, R.; Sanacora, G.; Eid, T.; Aghajanian, G.; Duman, R.S. Scopolamine Rapidly Increases Mammalian Target of Rapamycin Complex 1 Signaling, Synaptogenesis, and Antidepressant Behavioral Responses. Biol. Psychiatry 2013, 74, 742–749. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Martin, A.E.; Schober, D.A.; Nikolayev, A.; Tolstikov, V.V.; Anderson, W.H.; Higgs, R.E.; Kuo, M.S.; Laksmanan, A.; Catlow, J.T.; Li, X.; et al. Further Evaluation of Mechanisms Associated with the Antidepressantlike Signature of Scopolamine in Mice. CNS Neurol. Disord. Drug Targets 2017, 16, 492–500. [Google Scholar] [CrossRef] [Scilit]
- Ghosal, S.; Bang, E.; Yue, W.; Hare, B.D.; Lepack, A.E.; Girgenti, M.J.; Duman, R.S. Activity-Dependent Brain-Derived Neurotrophic Factor Release Is Required for the Rapid Antidepressant Actions of Scopolamine. Biol. Psychiatry 2018, 83, 29–37. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Hoeffer, C.A.; Klann, E. mTOR signaling: At the crossroads of plasticity, memory and disease. Trends Neurosci. 2010, 33, 67–75. [Google Scholar] [CrossRef] [Scilit]
- Newhouse, P.A.; Sunderland, T.; Tariot, P.N.; Weingartner, H.; Thompson, K.; Mellow, A.M.; Cohen, R.M.; Murphy, D.L. The effects of acute scopolamine in geriatric depression. Arch. Gen. Psychiatry 1988, 45, 906Y912. [Google Scholar] [CrossRef] [Scilit]
- Jaffe, R.J.; Novakovic, V.; Peselow, E.D. Scopolamine as an antidepressant: A systematic review. Clin. Neuropharmacol. 2013, 36, 24–26. [Google Scholar] [CrossRef] [Scilit]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [Scilit]
- Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ 2019, 366, l4898. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Higgins, J.P.T.; Thomas, J.; Chandler, J.; Cumpston, M.; Li, T.; Page, H.J.; Welch, W.A. Cochrane Handbook for Systematic Reviews of Interventions, 2nd ed.; John Wiley and Sons: Chichester, UK, 2019. [Google Scholar]
- McGuinness, L.A.; Higgins, J.P.T. Risk-of-bias VISualization (robvis): An R package and Shiny web app for visualizing risk-of-bias assessments. Res. Synth. Methods 2021, 12, 55–61. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khajavi, D.; Farokhnia, M.; Modabbernia, A.; Ashrafi, M.; Abbasi, S.H.; Tabrizi, M.; Akhondzadeh, S. Oral scopolamine augmentation in moderate to severe major depressive disorder: A randomized, double-blind, placebo-controlled study. J. Clin. Psychiatry 2012, 73, 1428–1433. [Google Scholar] [CrossRef] [Scilit]
- Park, L.; Furey, M.; Nugent, A.C.; Farmer, C.; Ellis, J.; Szczepanik, J.; Lener, M.S.; Zarate, C.A., Jr. Neurophysiological Changes Associated with Antidepressant Response to Ketamine Not Observed in a Negative Trial of Scopolamine in Major Depressive Disorder. Int. J. Neuropsychopharmacol. 2019, 22, 10–18. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhou, J.; Yang, J.; Zhu, X.; Zghoul, T.; Feng, L.; Chen, R.; Wang, G. The effects of intramuscular administration of scopolamine augmentation in moderate to severe major depressive disorder: A randomized, double-blind, placebo-controlled trial. Ther. Adv. Psychopharmacol. 2020, 10, 2045125320938556. [Google Scholar] [CrossRef] [Scilit]
- Chen, J.C.C.; Sumner, R.L.; Naga, V.K.; Hoeh, N.; Ayeni, H.A.; Singh, V.; Wilson, A.; Campbell, D.; Sundram, F.; Muthukumaraswamy, S.D.A. Randomized Controlled Trial of Intravenous Scopolamine Versus Active-Placebo Glycopyrrolate in Patients with Major Depressive Disorder. J. Clin. Psychiatry 2022, 83, 21m14310. [Google Scholar] [CrossRef] [Scilit]
- Ellis, J.S.; Zarate, C.Z., Jr.; Luckenbaugh, D.A.; Furey, M. Antidepressant treatment history as a predictor of response to scopolamine: Clinical implications. J. Affect. Disord. 2014, 162, 39–42. [Google Scholar] [CrossRef] [Scilit]
- Miravalles, C.; Kane, R.; McMahon, E.; McDonald, C.; Cannon, D.M.; Hallahan, B. Efficacy and safety of scopolamine compared to placebo in individuals with bipolar disorder who are experiencing a depressive episode (SCOPE-BD): Study protocol for a randomised double-blind placebo-controlled trial. Trials 2022, 23, 339. [Google Scholar] [CrossRef] [Scilit]
- Clinicaltrials.gov. NCT03386448: The Safety and Efficacy of Naltrexone and Scopolamine Utilized in the Treatment of Major Depression. Available online: https://www.clinicaltrials.gov/study/NCT03386448 (accessed on 26 June 2023).


| Reference | Type of Study | N (Scopolamine vs. Control Group); % Male; Average Age [Years]; Baseline HDRS/HAMA/MADRS Score [Mean ± SD] | Scopolamine vs. Control Group |
|---|---|---|---|
| Khajavi et al. [43] | RCT, two-center, placebo control, double-blind, parallel-group, phase II–III | N = 40 (20 vs. 20) Male: 40% vs. 35% Average age: 37.8 vs. 36.6 Baseline HDRS: 24.5 ± 2.2 vs. 24.2 ± 2.3 | Oral scopolamine 0.5 mg twice daily + citalopram 20 mg daily for first week than 40 mg daily for 5 weeks vs. placebo + citalopram 20 mg daily for first week than 40 mg daily for 5 weeks |
| Park et al. [44] | RCT, single-center, placebo control, single-blind, crossover trial | N = 23 (12 vs. 11) Male: 33% vs. 63% Average age: 40.42 vs. 32.91 Baseline HAM-A: 25.73 ± 8.33 vs. 19 ± 5.67 Baseline MADRS: 34.08 ± 4.25 vs. 31.64 ± 4.2 | Scopolamine 4 μg/kg IV /placebo vs. placebo/scopolamine 4 μg/kg IV |
| Zhou et al. [45] | RCT, single-center, double-blind, parallel-group, three-arm study | N = 66 (22 vs. 22 vs. 22) Male: 27% vs. 32% vs. 45% Average age: 25.7 vs. 26.5 vs. 27.1 Baseline HDRS17 25.7 ± 4.7 vs. 25.4 ± 4.2 vs. 24.5 ± 5.0 Baseline MADRS: 32.2 ± 5.8 vs. 33.5 ± 6.4 vs. 31.0 ± 7.9 | Low-dose (scopolamine 0.3 mg IM once daily + oral escitalopram 10 mg/day + IM saline once daily) vs. high-dose (scopolamine 0.3 mg IM twice daily + oral escitalopram 10 mg/day) vs. placebo (oral escitalopram 10 mg/day + IM saline twice daily) |
| Chen et al. [46] | RCT, double-blind, parallel-group, phase II–III | N = 40 (24 [all scopolamine groups] vs. 16) Male: 38% vs. 19% Average age: 33.0 vs. 37.8 Baseline MADRS: 28.3 ± 4.3 vs. 27.7 ± 4.4 | Scopolamine 4 μg/kg IV vs. scopolamine 5 μg/kg IV vs. scopolamine 6 μg/kg IV vs. glycopyrronium bromide 4 μg/kg IV |
| Reference | Change in MADRS or HDRS, Mean [95% CI] | Response or Remission Rate | Safety—AEs, SAEs |
|---|---|---|---|
| Khajavi et al. [43] | Scopolamine oral vs. placebo (after 42 days): HDRS: −3.2 [−5.1; −1.4], p = 0.001 | Scopolamine oral vs. placebo (after 42 days): response (50% reduction in HDRS): RR = 0.495 [0.32; 0.65], p = 0.231 remission: RR = 0.34 [95% CI: 0.14; 0.83], p = 0.004 | Scopolamine oral vs. placebo (after 42 days): AEs: no information provided SAEs: 0% vs. 0% |
| Park et al. [44] | Scopolamine IV vs. placebo: HAM-A and MADRS: no differences between groups | Scopolamine IV vs. placebo: response (50% reduction in MADRS): 8% vs. 0%; remission (MADRS ≤ 10): 4% vs. 0% | Scopolamine IV vs. placebo: AEs: no information provided SAEs: 0% vs. 0% |
| Zhou et al. [45] | Scopolamine high dose IM vs. placebo: HDRS17: 0.2 [−1.0; 1.5] MADRS: 0.4 [−1.4; 2.2] Scopolamine low dose IM vs. placebo: HDRS17: 0.4 [−0.9; 1.7] MADRS: 0.8 [−0.9; 2.5] | Scopolamine low dose IM vs. scopolamine high dose IM vs. placebo: response (50% reduction in HDRS17) for all groups (cumulative): 72.7% remission (HDRS17 ≤ 7) for all groups (cumulative): 47.0% | Scopolamine low dose IM vs. scopolamine high dose IM vs. placebo: AEs: 100% vs. 90.9% vs. 70%, p = 0.0024 SAEs: no information provided |
| Chen et al. [46] | Scopolamine IV vs. glycopyrronium (placebo): MADRS: no differences between groups | Scopolamine IV vs. glycopyrronium (placebo): response (50% reduction in MADRS at 1 or 3 day): OR = 1.8 [95% CI: 0.6; 5.5] remission: no information provided | Scopolamine IV vs. glycopyrronium (placebo): AEs: no information provided SAEs: 0% vs. 0% |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Moćko, P.; Śladowska, K.; Kawalec, P.; Babii, Y.; Pilc, A. The Potential of Scopolamine as an Antidepressant in Major Depressive Disorder: A Systematic Review of Randomized Controlled Trials. Biomedicines 2023, 11, 2636. https://doi.org/10.3390/biomedicines11102636
Moćko P, Śladowska K, Kawalec P, Babii Y, Pilc A. The Potential of Scopolamine as an Antidepressant in Major Depressive Disorder: A Systematic Review of Randomized Controlled Trials. Biomedicines. 2023; 11(10):2636. https://doi.org/10.3390/biomedicines11102636
Chicago/Turabian StyleMoćko, Paweł, Katarzyna Śladowska, Paweł Kawalec, Yana Babii, and Andrzej Pilc. 2023. "The Potential of Scopolamine as an Antidepressant in Major Depressive Disorder: A Systematic Review of Randomized Controlled Trials" Biomedicines 11, no. 10: 2636. https://doi.org/10.3390/biomedicines11102636
APA StyleMoćko, P., Śladowska, K., Kawalec, P., Babii, Y., & Pilc, A. (2023). The Potential of Scopolamine as an Antidepressant in Major Depressive Disorder: A Systematic Review of Randomized Controlled Trials. Biomedicines, 11(10), 2636. https://doi.org/10.3390/biomedicines11102636

