Hostname: page-component-857557d7f7-nfgnx Total loading time: 0.001 Render date: 2025-11-26T12:25:05.304Z Has data issue: false hasContentIssue false

Creatine supplementation for treating symptoms of depression: a systematic review and meta-analysis

Published online by Cambridge University Press:  05 November 2025

Igor Eckert*
Affiliation:
Independent Scholar, Porto Alegre, RS, Brazil
Júlia Lima
Affiliation:
Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
Andressa Amaral Dariva
Affiliation:
Programa de Pós-Graduação em Saúde Coletiva, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
*
Corresponding author: Igor Eckert; Email: igoreckert2@gmail.com

Abstract

Nutraceuticals are increasingly of interest in nutritional psychiatry, where creatine has been investigated in several randomised trials for its effects on depressive symptoms. However, these findings have not yet been systematically synthesised. We conducted a systematic review to assess the effects of creatine supplementation on symptoms of depression. Four databases were searched up to February 2025 for trials comparing creatine with placebo in individuals with or without depression. Study selection, data extraction and risk of bias assessment (RoB 2) were conducted independently, and certainty of evidence was evaluated using Grading of Recommendations, Assessment, Development and Evaluation (GRADE). Random-effects meta-analyses with Hartung–Knapp–Sidik–Jonkman adjustment including eleven trials (1093 participants) found a standardised mean difference of −0·34 (95 % CI −0·68, −0·00; GRADE: very low quality of evidence), equivalent to 2·2 points on the seventeen-item Hamilton Depression Rating Scale, below the minimal important difference of 3·0 points. CI include non-clinically important effects, and heterogeneity was substantial (I2 = 71·3 %). While effects appeared larger in clinically depressed populations, subgroup analyses and trim-and-fill adjustments indicated substantial bias favouring creatine. Results for secondary endpoints were significant for remission (three trials, OR 3·60; 95 % CI 1·76, 7·56), but not for treatment response (two trials, OR 0·72; 95 % CI 0·28, 1·88). Our findings suggest that creatine may offer a small-to-moderate benefit for individuals with depression, but average effects were not clinically important and the true effect may be trivial or null. The evidence on which these results are based is very uncertain. Larger, more rigorous randomised trials are required to draw definitive conclusions.

Information

Type
Systematic Review and Meta-Analysis
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

JAMA Network Depression is the Leading Cause of Disability around the World (2017) | Depressive Disorders | JAMA | (Internet). https://jamanetwork.com/journals/jama/article-abstract/2618635 (accessed 24 February 2024).Google Scholar
Institute for Health Metrics and Evaluation GBD Results (2023) (Internet). https://vizhub.healthdata.org/gbd-results (accessed 24 February 2024).Google Scholar
Collaborators GM (2022) Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry 9, 137150.Google Scholar
Rush, AJ, Aaronson, ST & Demyttenaere, K (2019) Difficult-to-treat depression: a clinical and research roadmap for when remission is elusive. Aust N Z J Psychiatry 53, 109118.Google Scholar
Ghaemian, A, Ghomi, M, Wrightman, M, et al. (2020) Therapy discontinuation in a primary care psychological service: why patients drop out. Cogn Behav Ther 13, e25.Google Scholar
Cipriani, A, Furukawa, TA, Salanti, G, et al. (2018) Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet 391, 13571366 (Internet).Google Scholar
Roschel, H, Gualano, B, Ostojic, SM, et al. (2021) Creatine supplementation and brain health. Nutrients 13, 586 (Internet).Google Scholar
Forbes, SC, Cordingley, DM, Cornish, SM, et al. (2022) Effects of creatine supplementation on brain function and health. Nutrients 14, 921 (Internet).Google Scholar
Sarris, J, Murphy, J, Mischoulon, D, et al. (2016) Adjunctive nutraceuticals for depression: a systematic review and meta-analyses. Am J Psychiatry 173, 575587.Google Scholar
Kious, BM, Kondo, DG & Renshaw, PF (2019) Creatine for the treatment of depression. Biomolecules 9, 406.Google Scholar
Faulkner, P, Lucini Paioni, S, Kozhuharova, P, et al. (2021) Relationship between depression, prefrontal creatine and grey matter volume. J Psychopharmacol 35, 14991508 (Internet).Google Scholar
Pazini, FL, Cunha, MP & Rodrigues, ALS (2019) The possible beneficial effects of creatine for the management of depression. Prog Neuropsychopharmacol Biol Psychiatry 89, 193206.Google Scholar
Bakian, AV, Huber, RS, Scholl, L, et al. (2020) Dietary creatine intake and depression risk among U.S. adults. Transl Psychiatry 10, 52 (Internet).Google Scholar
Dechent, P, Pouwels, PJW, Wilken, B, et al. (1999) Increase of total creatine in human brain after oral supplementation of creatine monohydrate. Am J Physiol Regul Integr Comp Physiol 277, R698704 (Internet).Google Scholar
Lyoo, IK, Kong, SW, Sung, SM, et al. (2003) Multinuclear magnetic resonance spectroscopy of high-energy phosphate metabolites in human brain following oral supplementation of creatine monohydrate. J Magn Reson Imaging 18, 653659 (Internet).Google Scholar
Sarris, J, Ravindran, A, Yatham, LN, et al. (2022) Clinician guidelines for the treatment of psychiatric disorders with nutraceuticals and phytoceuticals: WFSBP and CANMAT Taskforce. World J Biol Psychiatry 23, 493545 (Internet).Google Scholar
Ashton, MM, Kavanagh, BE, Marx, W, et al. (2021) A systematic review of nutraceuticals for the treatment of bipolar disorder. Can J Psychiatry 66, 262273.Google Scholar
Bozzatello, P, Novelli, R, Montemagni, C, et al. (2024) Nutraceuticals in psychiatric disorders: a systematic review. Int J Mol Sci 25, 4824.Google Scholar
Page, MJ, McKenzie, JE, Bossuyt, PM, et al. (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71.Google Scholar
Higgins, JPT, Thomas, J, Chandler, J, et al. (editors) (2024) Cochrane Handbook for Systematic Reviews of Interventions, Ver. 6.5 (updated Aug 2024). London: Cochrane https://www.training.cochrane.org/handbook (accessed February 2025).Google Scholar
Ouzzani, M, Hammady, H, Fedorowicz, Z, et al. (2016) Rayyan—a web and mobile app for systematic reviews. Syst Rev 5, 210 (Internet).Google Scholar
Lin, L & Aloe, AM (2021) Evaluation of various estimators for standardized mean difference in meta-analysis. Stat Med 40, 403426.Google Scholar
Veroniki, AA, Jackson, D, Viechtbauer, W, et al. (2016) Methods to estimate the between-study variance and its uncertainty in meta-analysis. Res Synth Methods 7, 5579.Google Scholar
Sidik, K & Jonkman, JN (2007) A comparison of heterogeneity variance estimators in combining results of studies. Stat Med 26, 19641981.Google Scholar
Guyatt, GH, Thorlund, K, Oxman, AD, et al. (2013) GRADE guidelines 13: preparing summary of findings tables and evidence profiles—continuous outcomes. J Clin Epidemiol 66, 173183 (Internet).Google Scholar
National Collaborating Centre for Mental Health (UK) (2010) Depression: The Treatment and Management of Depression in Adults (Updated edition). Leicester: British Psychological Society (Internet). http://www.ncbi.nlm.nih.gov/books/NBK63748/ (accessed 24 February 2024).Google Scholar
National Institute for Health and Care Excellence (NICE) (2022) Depression in Adults: Treatment and Management. NICE Guideline NG222. 2022 Jun 29 (Internet). https://www.nice.org.uk/guidance/ng222 (accessed 24 February 2024).Google Scholar
Sterne, JAC, Savović, J, Page, MJ, et al. (2019) RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 366, l4898 (Internet).Google Scholar
Higgins, JPT, Li, T & Deeks, JJ (2023) Using Risk of Bias 2 to assess results from randomised controlled trials: guidance from Cochrane. BMJ Evid Based Med 28, 260266 (Internet).Google Scholar
IntHout, J, Ioannidis, JPA, Rovers, MM, et al. (2016) Plea for routinely presenting prediction intervals in meta-analysis. BMJ Open 6, e010247.Google Scholar
Borenstein, M, Higgins, JPT, Hedges, LV, et al. (2017) Basics of meta-analysis: I2 is not an absolute measure of heterogeneity. Res Synth Methods 8, 518.Google Scholar
Borenstein, M (2022) In a meta-analysis, the I-squared statistic does not tell us how much the effect size varies. J Clin Epidemiol 152, 281284.Google Scholar
Spineli, LM & Pandis, N (2020) Prediction interval in random-effects meta-analysis. Am J Orthod Dentofacial Orthop 157, 586588.Google Scholar
Borenstein, M (2023) How to understand and report heterogeneity in a meta-analysis: the difference between I-squared and prediction intervals. Integr Med Res 12, 101014.Google Scholar
Guyatt, G, Zhao, Y, Mayer, M, et al. (2023) GRADE guidance 36: updates to GRADE’s approach to addressing inconsistency. J Clin Epidemiol 158, 7083.Google Scholar
Cohen, P, Cohen, J, Aiken, LS, et al. (1999) The problem of units and the circumstance for POMP. Multivariate Behav Res 34, 315346 (Internet).Google Scholar
DerSimonian, R & Laird, N (1986) Meta-analysis in clinical trials. Control Clin Trials 7, 177188.Google Scholar
Egger, M, Smith, GD, Schneider, M, et al. (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315, 629634.Google Scholar
Sterne, JAC, Sutton, AJ, Ioannidis, JPA, et al. (2011) Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ 343, d4002 (Internet).Google Scholar
Duval, S & Tweedie, R (2000) Trim and fill: a simple funnel-plot–based method of testing and adjusting for publication bias in meta-analysis. Biom 56, 455463 (Internet).Google Scholar
Guyatt, G, Oxman, AD, Akl, EA, et al. (2011) GRADE guidelines: 1. Introduction—GRADE evidence profiles and summary of findings tables. J Clin Epidemiol 64, 383394.Google Scholar
Santesso, N, Glenton, C, Dahm, P, et al. (2020) GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions. J Clin Epidemiol 119, 126135.Google Scholar
Sherpa, NN, De Giorgi, R, Ostinelli, EG, et al. (2025) Efficacy and safety of oral creatine monohydrate in add-on to cognitive-behavioural therapy in depression: an 8-week pilot, double-blind, randomised, placebo-controlled feasibility and exploratory trial in an under-resourced area. Eur Neuropsychopharmacol 90, 2835.Google Scholar
Candow, DG, Forbes, SC, Chilibeck, PD, et al. (2023) Creatine monohydrate supplementation changes total body water and DXA lean mass estimates in female collegiate dancers. Int J Sport Nutr Exerc Metab 33, 435443 (Internet).Google Scholar
Butchart, S, Candow, DG, Forbes, SC, et al. (2022) Effects of creatine supplementation and progressive resistance training in stroke survivors. Int J Exerc Sci 15, 11171132.Google Scholar
Toniolo, RA, Silva, M, Fernandes, FBF, et al. (2018) A randomized, double-blind, placebo-controlled, proof-of-concept trial of creatine monohydrate as adjunctive treatment for bipolar depression. J Neural Transm (Vienna) 125, 247257.Google Scholar
Kondo, DG, Sung, YH, Hellem, TL, et al. (2016) Creatine target engagement with brain bioenergetics: a dose-ranging 31P-MRS study of adolescent females with SSRI-resistant depression. Amino Acids 48, 19411954 (Internet).Google Scholar
Kieburtz, K, Tilley, BC, Elm, JJ, et al. (2015) Writing Group for the NINDS Exploratory Trials in Parkinson Disease (NET-PD) Investigators. Effect of creatine monohydrate on clinical progression in patients with Parkinson disease: a randomized clinical trial. JAMA 313, 584593.Google Scholar
Alves, CRR, Merege-Filho, CAA, Benatti, FB, et al. (2013) Creatine supplementation associated or not with strength training upon emotional and cognitive measures in older women: a randomized double-blind study. PLoS One 8, e76301 (Internet).Google Scholar
Nemets, B & Levine, J (2013) A pilot dose-finding clinical trial of creatine monohydrate augmentation to SSRIs/SNRIs/NASA antidepressant treatment in major depression. Int Clin Psychopharmacol 28, 127133.Google Scholar
Lyoo, IK, Yoon, S, Kim, TS, et al. (2012) A randomized, double-blind, placebo-controlled trial of oral creatine monohydrate augmentation for enhanced response to a selective serotonin reuptake inhibitor in women with major depressive disorder. Am J Psychiatry 169, 937945.Google Scholar
Pildal, J, Hróbjartsson, A, Jørgensen, KJ, et al. (2008) Empirical evidence of bias in treatment effect estimates in randomized trials with different interventions and outcomes: meta-epidemiological study. BMJ 336, 601605 (Internet).Google Scholar
Dechartres, A, Trinquart, L, Boutron, I, et al. (2011) Single-center trials show larger treatment effects than multicenter trials: evidence from a meta-epidemiologic study. Ann Intern Med 155, 3951 (Internet).Google Scholar
Dechartres, A, Trinquart, L, Boutron, I, et al. (2013) Influence of trial sample size on treatment effect estimates: meta-epidemiological study. BMJ 346, f2304 (Internet).Google Scholar
Moustgaard, H, Clayton, GL, Jones, HE, et al. (2020) Impact of blinding on estimated treatment effects in randomised clinical trials: meta-epidemiological study. BMJ 368, l6802 (Internet).Google Scholar
Hopewell, S, McDonald, S, Clarke, M, et al. (2007) Grey literature in meta-analyses of randomized trials of health care interventions. Cochrane Database Syst Rev issue 2, MR000010 (Internet).Google Scholar
Doleman, B, Borlase, E & Leonardi-Bee, J (2020) Funnel plots may show asymmetry in the absence of publication bias with continuous outcomes dependent on baseline risk: presentation of a new publication bias test. Res Synth Methods 11, 671684 (Internet).Google Scholar
Candow, DG, Forbes, SC, Ostojic, SM, et al. (2023) ‘Heads up’ for creatine supplementation and its potential applications for brain health and function. Sports Med 53, 4965.Google Scholar
Forbes, SC, Cordingley, DM, Cornish, SM, et al. (2022) Effects of creatine supplementation on brain function and health. Nutrients 14, 665 (Internet).Google Scholar
Balestrino, M & Adriano, E (2019) Beyond sports: efficacy and safety of creatine supplementation in pathological or paraphysiological conditions of brain and muscle. Med Res Rev 39, 24292453 (Internet).Google Scholar
Avgerinos, KI, Spyrou, N, Mantzoros, CS, et al. (2021) Creatine supplementation and brain health. Nutrients 13, 586 (Internet).Google Scholar
Juneja, K, Bhuchakra, HP, Sadhukhan, S, et al. (2024) Creatine supplementation in depression: a review of mechanisms, efficacy, clinical outcomes, and future directions. Cureus 16, e71638.Google Scholar
Turner, CE, Byblow, WD & Gant, N (2015) Beyond muscle: the effects of creatine supplementation on brain creatine, cognitive processing, and traumatic brain injury. J Neurotrauma 32, 18331847 (Internet).Google Scholar
Hellem, TL, Sung, YH, Shi, XF, et al. (2015) Creatine as a novel treatment for depression in females using methamphetamine: a pilot study. J Dual Diagn 11, 189202.Google Scholar
Kious, BM, Sabic, H, Sung, YH, et al. (2017) Combined augmentation with creatine monohydrate and 5-hydroxytryptophan for SSRI/SNRI-resistant depression in adult women: an open-label pilot study. J Clin Psychopharmacol 37, 578583.Google Scholar
Roitman, S, Green, T, Osher, Y, et al. (2007) Creatine monohydrate in resistant depression: a preliminary study. Bipolar Disord 9, 754758.Google Scholar
Arnold, R, Murphy-Smith, J, Ng, CH, et al. (2024) Predictors of the placebo response in a nutraceutical randomized controlled trial for depression. J Integr Med 22, 4653.Google Scholar
Hersch, SM, Schifitto, G, Oakes, D, et al. (2017) The CREST-E study of creatine for Huntington disease: a randomized controlled trial. Neurology 89, 594601.Google Scholar
Leucht, S, Fennema, H, Engel, R, et al. (2013) What does the HAMD mean? J Affect Disord 148, 243248.Google Scholar
Marx, W, Visser, M, Wallace, C, et al. (2024) Methodological and reporting recommendations for clinical trials in nutritional psychiatry: guidelines from the International Society for Nutritional Psychiatry Research. Br J Nutr 132, 21162128.Google Scholar
Supplementary material: File

Eckert et al. supplementary material

Eckert et al. supplementary material
Download Eckert et al. supplementary material(File)
File 2.5 MB