Highlights
- •Thirty-seven RCTs, investigating fourteen nutraceuticals, were included in the review.
- •Some interventions improved biological and/or clinical outcomes in multiple sclerosis.
- •Most trials were relatively small and there were few studies per nutraceutical.
- •There is only preliminary support for the use of nutraceuticals in MS.
Abstract
Background
Methods
Results
Conclusion
Keywords
1. Introduction
- Yadav V.
- Bever Jr., C.
- Bowen J.
- Bowling A.
- Weinstock-Guttman B.
- Cameron M.
- Bourdette D.
- Gronseth G.S.
- Narayanaswami P
Dunn M., Bhargava P., Kalb R. Your patients with multiple sclerosis have set wellness as a high priority—and the National Multiple Sclerosis Society is responding. Your Patients with Multiple Sclerosis have Set Wellness as a High Priority—And the National Multiple Sclerosis Society is Responding. 2015.
Dunn M., Bhargava P., Kalb R. Your patients with multiple sclerosis have set wellness as a high priority—and the National Multiple Sclerosis Society is responding. Your Patients with Multiple Sclerosis have Set Wellness as a High Priority—And the National Multiple Sclerosis Society is Responding. 2015.
2. Methods
2.1 Literature search
2.2 Data extraction
2.3 Assessment of study risk of bias
2.4 Data analysis
3. Results
3.1 Study selection

Author/Date | Study details | Sample details | Intervention | Outcomes | Results | Jadad score |
---|---|---|---|---|---|---|
Alpha Lipoic acid | ||||||
Khalili et al., 2017 | Study design: RCT | MS diagnosis: Relapse remitting | Alpha lipoic acid (1200 mg/day) | ADMA, EDSS | No significant between-group differences reported. | 5 |
Country: Iran | Age in years (mean): 32 | |||||
Sample size (n): 31 | ||||||
Total study period (weeks): 12 | ||||||
Spain et al., 2017 | Study design: RCT | MS diagnosis: Secondary progressive | Alpha Lipoic Acid (1200 mg/day) | Annualized percent change brain volume, mobility, QoL (using the RAND 36-Item Short Form Health Survey), cognition, EDSS | Annualized PCBV was significantly less in the intervention group compared to placebo (p = 0.002). | 5 |
Country: USA | Age in years (median): 57.9 (intervention), 59.7 (control) | No other significant between-group differences reported | ||||
Sample size (n): 54 | ||||||
Total study period (years): 2 | ||||||
Khalili et al., 2014a ,
Does lipoic acid consumption affect the cytokine profile in multiple sclerosis patients: a double-blind, placebo-controlled, randomized clinical trial. NeuroImmunoModulation. 2014; 21: 291-296 Khalili et al., 2014b ) | Study design: RCT | MS diagnosis: Relapse remitting | Alpha lipoic acid (1200 mg/day) | Total antioxidant capacity, superoxide dismutase, glutathione peroxidase activity, malondialdehyde, | Total antioxidant capacity significantly improved in the intervention group compared to placebo (p < 0.004) | 5 |
Country: Iran | Age in years (mean): 30 | |||||
Sample size (n): 52 | ||||||
Total study period (weeks): 12 | ||||||
Khalili et al., 2014a ,
Does lipoic acid consumption affect the cytokine profile in multiple sclerosis patients: a double-blind, placebo-controlled, randomized clinical trial. NeuroImmunoModulation. 2014; 21: 291-296 Khalili et al., 2014b ) | Study design: RCT | MS diagnosis: Relapse remitting | Alpha lipoic acid (1200 mg/day) | TGF-β,INF-γ, VCAM-1, ICAM-1, IL-4, TNF-α, IL-6, EDSS, MMP-9 | TGF-β,INF-γ, VCAM-1, ICAM-1, IL-4, significantly improved in the intervention group compared to placebo (p < 0.01) | 5 |
Country: Iran | Age in years (mean): 30 | |||||
Sample size (n): 52 | ||||||
Total study period (weeks): 12 | ||||||
Khallli et al., 2012 | Study design: RCT | MS diagnosis: Relapse remitting | Alpha lipoic acid (1200 mg/day) | Fatigue (using the Fatigue Severity Scale), EDSS, plaque formation (via MRI) | No significant between-group differences reported. | 4 |
Country: Iran | Age in years (mean): 32 | In participants with a baseline EDSS >0, there was a significant decrease in EDSS (p = 0.036) | ||||
Sample size (n): 39 | ||||||
Total study period (weeks): 12 | ||||||
Yadav et al., 2005 | Study design: RCT | MS diagnosis: Mixed diagnoses | Alpha Lipoic Acid 1200mg (either once or twice per day), 2400mg (1200mg twice per day) | MMP-9, TIMP-1, | No significant between-group differences reported. | 5 |
Country: USA | Age in years (median): 49 | sICAM-1 | A dose response relationship was observed for mean change in sICAM-1 (p = 0.03) | |||
Sample size (n): 37 | ||||||
Total study period (weeks): 2 | ||||||
Ginkgo Biloba | ||||||
Brochet et al., 1995 | Study design: RCT | MS diagnosis: RRMS | ginkgolide B (240 mg/day or 360 mg/day) | EDSS, Hauser ambulation index, fatigue (using the FSS) | No significant between-group differences reported. | 4 |
Country: France | Age in years (mean): 35 | |||||
Sample size (n): 104 | ||||||
Total study period (days): 7 | ||||||
Diamond et al., 2013 | Study design: RCT | MS diagnosis: Mixed diagnoses | Ginkgo Biloba (Egb 761 extract, 240 mg/day) | Visual-spatial memory, attention/concentration, processing speed, verbal intrusions | Processing speed (p = 0.05) and verbal intrusions (p = 0.03) improved in the intervention group compared to the placebo group. No other significant between-group differences reported. | 5 |
Country: USA | Age in years (mean): 50.75 | |||||
Sample size (n): 23 | ||||||
Total study period (weeks): 4 | ||||||
Johnson et al. (2013) | Study design: RCT | MS diagnosis: Mixed diagnoses | Ginkgo Biloba (Egb 761 extract, 240 mg/day) | Depression (using the Center for Epidemiologic Studies of Depression Scale), anxiety (using the State-Trait Anxiety Inventory)Fatigue (using the Modified Fatigue Impact Scale), symptom severity (using the Symptom Inventory) and functional performance (using the Functional Assessment of Multiple Sclerosis) | Fatigue significantly improved in the intervention group (p = 0.024), compared to the placebo group. No other significant between group differences. | 5 |
Country: USA | Age in years (mean): 50.75 | |||||
Sample size (n): 23 | ||||||
Total study period (weeks): 4 | ||||||
Lovera et al., 2012 | Study design: RCT | MS diagnosis: Mixed diagnoses | Ginkgo Biloba (Egb 761 extract; 240 mg/day) | California Verbal Learning Test II, Stroop Test, Controlled Oral Word Association Test, Paced Auditory Serial Addition Task, Perceived Cognitive deficits, Perceived Cognitive deficits (using the Sclerosis Neuropsychological Screening Questionnaire), Social integration (using the Community Integration Questionnaire), Fatigue (using the Modified Fatigue Impact Scale), Depression (using the Beck Depression Inventory II) | No significant between-group differences reported. | 5 |
Country: USA | Age in years (mean): 52 | |||||
Sample size (n): 120 | ||||||
Total study period (weeks): 12 | ||||||
Lovera et al., 2007 | Study design: RCT | MS diagnosis: Mixed diagnoses | Ginkgo Biloba (Egb 761 extract; 240 mg/day) | Working memory and sustained attention, phonemic fluency, information processing speed and visual tracking, visual information processing, divided attention and selective attention, which measures cognitive processing speed, concentration, selective attention, mental flexibility and interference susceptibility, verbal memory and learning, depression (using the Beck Depression Index II), QoL (using the MS Quality of Life Index) | Stroop Color and Word Test (p = 0.015) and the Retrospective Memory Scale subscale of quality of life (p = 0.015), improved in the intervention group compared to the placebo group. No other significant between-group differences reported. | 5 |
Country: USA | Age in years (mean): 49 | |||||
Sample size (n): 43 | ||||||
Total study period (weeks): 12 | ||||||
Inosine | ||||||
Markowitz et al., 2009 | Study design: RCT with a cross-over placebo arm | MS diagnosis: Relapse remitting | Inosine (2-3g/day), administered with interferon | EDSS, MRI | No significant between-group differences reported. | 5 |
Country: USA | Age in years (mean): not listed | |||||
Sample size (n): 16 | ||||||
Total study period (years): 1 | ||||||
Gonsette et al., 2010
Boosting endogenous neuroprotection in multiple sclerosis: the Association of Inosine and Interferon beta in relapsing- remitting Multiple Sclerosis (ASIIMS) trial. Multiple sclerosis (Houndmills, Basingstoke, England). 2010; 16: 455-462 | Study design: RCT | MS diagnosis: Relapse remitting | Inosine, Individualized dose based on serum uric acid levels | EDSS, Multiple Sclerosis Functional Composite, relapse rate | No significant between-group differences reported. | 5 |
Country: Belguim | Age in years (mean): 37 | |||||
Sample size (n): 159 | ||||||
Total study period (years): 2 | ||||||
Munoz Garcia et al., 2015 | Study design: RCT | MS diagnosis: Relapse remitting | Inosine (3g/day), administered with interferon | MRI | No significant between-group differences reported. | 4 |
Country: Spain | Age in years (mean): 32 | |||||
Sample size (n): 36 | ||||||
Total study period (years): 1 | ||||||
Acetyl L Carnitine | ||||||
Ledinek et al., 2013 | Study design: RCT | MS diagnosis: Relapse remitting | Acetyl L Carnitine (2000 mg/day) | Fatigue (using the Modified Fatigue Impact Scale), QoL (using the 36-item Short Forum Health Survey Questionnaire) | No significant between-group differences reported. | 2 |
Country: USA | Age in years (mean): 39 | |||||
Sample size (n): 30 (medication groups not included) | ||||||
Total study period (weeks): 4 | ||||||
Tomassini et al., 2004 | Study design: RCT-cross over | MS diagnosis: Primary progressive or secondary progressive | Acetyl L Carnitine (1000 mg/day) | Fatigue (using the Fatigue Severity Scale and the Fatigue Impact Scale), depression (using the Beck Depression Inventory), social interaction (using the Social Experience Checklist) | Fatigue significantly improved in the intervention group compared to placebo. (p = 0.039) | 3 |
Country: Italy | Age in years (mean): 44 | No other significant between-group differences reported. | ||||
Sample size (n): 93 | ||||||
Total study period (months): 6 (6-month open label extension phase not extracted) | ||||||
Biotin | ||||||
Tourbah et al., 2018
MD1003 (High-Dose pharmaceutical-grade biotin) for the treatment of chronic visual loss related to optic neuritis in multiple sclerosis: a randomized, double-blind, Placebo-Controlled Study. CNS Drugs. 2018; 32: 661-672 | Study design: RCT | MS diagnosis: Mixed diagnoses | Biotin (MD1003; 300 mg/day) | Impairment of the optic nerve, VEPs, automated perimetry, and OCT including RNFL and thickness, QoL (using the Multiple Sclerosis Quality of Life-54 and the National Eye Institute 25-Item Visual Function Questionnaire), patient- and clinician evaluated global impression scale | No significant between-group differences reported. | 5 |
Country: France/UK | Age in years (mean): 41 | |||||
Sample size (n): 93 | ||||||
Total study period (weeks): 24 (6-month open label extension phase no extracted) | ||||||
Tourbah et al., 2016
MD1003 (high-dose biotin) for the treatment of progressive multiple sclerosis: a randomised, double-blind, placebo-controlled study. Mult. Scler. 2016; 22: 1719-1731 | Study design: RCT | MS diagnosis: Primary progressive or secondary progressive | Biotin (MD1003; 300 mg/day) | Improved disability, EDSS, clinician global impression of change, patient impression of change, QOL (using the Short Form 36 Health Survey), fatigue (using the modified Fatigue Impact Scale) | MS-related disability (p = 0.005), EDSS (p = 0.01), CGI scores (p < 0.001), SGI scores (p = 0.009) significantly improved in the intervention group compared to placebo. | 4 |
Country: France | Age in years (mean): 51 | In as post-hoc analysis, there were significantly more participants with >20% improvement in TW25 times at month 9, compared with the placebo group (p = 0.03)." | ||||
Sample size (n): 154 | Intervention group reported significantly worse on general health QOL subscale (p = 0.03) | |||||
Total study period (months): 12 (12-month open label extension phase not extracted) | No other significant between group differences. | |||||
Green tea extract | ||||||
Lovera et al., 2015
Non-futile at neuroprotection in multiple sclerosis but unpredictably hepatotoxic: phase I single group and phase II randomized placebo-controlled studies. J. Neurol. Sci. 2015; 358: 46-52 | Study design: RCT | MS diagnosis: Relapse remitting | Polyphenon E (Epigallocatechin-3-gallate Green tea extract) | NAA (using magnetic resonance spectroscopic imaging), EDSS, MSFC | Not assessed, trial halted early due to adverse liver events | 5 |
Country: Slovenia | Age in years (mean): 48 | |||||
Sample size (n): 13 (halted early) | ||||||
Total study period (weeks): 52 | ||||||
Mahler et al., 2015 | Study design: RCT Cross-over | MS diagnosis: Relapse remitting | Epigallocatechin-3-gallate (600 mg/day) | Postprandial increase in fat oxidation, efficiency of muscle work, postprandial profiles of plasma glucose, insulin, and free fatty acids | The intervention group had a significantly lower postprandial energy expenditure during exercise than placebo (p = 0.004). No other significant between-group differences reported. | 4 |
Country: Germany | Age in years (mean): 42 | |||||
Sample size (n): 20 | ||||||
Total study period (weeks): 16 weeks per intervention | ||||||
Retinyl palmitate | ||||||
Bitarfen et al. (2016) | Study design: RCT | MS diagnosis: Relapse remitting | Retinyl palmitate (25000 IU/d and 10000 IU/d for 6 months each) | Depression (using the Beck Depression Inventory-II), fatigue (using the modified fatigue impact scale) | Depression significantly improved significantly in the intervention group, compared to the placebo group (p = 0.01). | 5 |
Country: Iran | Age in years (mean): 31.3 | Total fatigue (p = 0.004) and subscales for physical (p = 0.02), cognitive (p = 0.02), and psychosocial (p = 0.02) function significantly improved in the intervention group, compared to the placebo group | ||||
Sample size (n): 101 | ||||||
Total study period (months): 12 | ||||||
Mohammadzadeh Honarvar et al., 2016
Retinyl palmitate supplementation modulates T-bet and interferon gamma gene expression in multiple sclerosis patients. J. Mol. Neurosci. 2016; 59: 360-365 | Study design: RCT | MS diagnosis: RRMS | Retinyl palmitate (25,000IU/day) | IFN-γ and T-bet gene expression | IFN-γ (p = 0.002) and T-bet (p = 0.001) gene expression improved in the intervention group compared to placebo. | 4 |
Country: Iran | Age in years (mean): 32.2 | |||||
Sample size (n): 39 | ||||||
Total study period (weeks): 24 | ||||||
Melatonin | ||||||
Drake et al., 2018
Results of a randomized, double blind, placebo controlled, crossover trial of melatonin for treatment of Nocturia in adults with multiple sclerosis (MeNiMS). BMC Neurol. 2018; 18 (107–) | Study design: RCT-cross over | MS diagnosis: Mixed diagnoses | Melatonin (sustained release, 2 mg/day) | Nocturia episodes, subjective severity, QoL (using the MS Quality of Life Scale), sleep quality (using the Pittsburgh Sleep Quality Index), EDSS, urinary tract symptoms | No significant between-group differences reported. | 5 |
Country: UK | Age in years (mean): 54.8 | |||||
Sample size (n): 34 | ||||||
Total study period (weeks): 12 (6 weeks per intervention phase) | ||||||
Roostaei et al., 2015 | Study design: RCT | MS diagnosis: Relapse remitting | Melatonin (3 mg/day) | Relapse rate, EDSS, number and volume of brain lesion, Fatigue (using the Modified Fatigue Impact Scale), Depression (using the Beck Depression Inventory-II), Multiple Sclerosis Functional Composite | No significant between-group differences reported. | 5 |
Country: Iran | Age in years (mean): 33.9 | |||||
Sample size (n): 26 | ||||||
Total study period (weeks): 52 | ||||||
Creatine monohydrate | ||||||
Malin et al., 2008 | Study design: RCT Cross-over | MS diagnosis: MS subtype not stated | Creatine monohydrate 20grams (first week), 5grams (second week) | Fatigue (using the Fatigue Severity Scale), rates of perceived exertion, knee extension total work, muscle power (knee extension), muscle power (knee flexion) | No significant between-group differences reported. | 4 |
Country: USA | Age in years (mean): 44 | |||||
Sample size (n): 11 | ||||||
Total study period (weeks): 2 weeks per intervention | ||||||
Lambert et al., 2003 | Study design: RCT | MS diagnosis: Relapse remitting | Creatine monohydrate (20g/day) | Body composition, exercise capacity and muscle metabolites (phosphocreatine, ATP, total creatine) | No significant between-group differences reported. | 3 |
Country: USA | Age in years (mean): 40.3 | |||||
Sample size (n): 16 | ||||||
Total study period (days): 5 | ||||||
Lemon Verbena | ||||||
Mauritz et al. (2015) | Study design: RCT | MS diagnosis: Mixed diagnoses | Lemon Verbena (600mg) standardized to 10% verbascoside | IFN-y, IL-12, IL-23, IL-6, TNF-a, TGF-a, IL-4 and IL-10, CRP | Secondary progressive MS- supplemented participants had significantly lower CRP (p < 0.005) and IFN-y (p < 0.003) and higher IL-4 and IL-10 compared to placebo (p < 0.05). | 3 |
Country: Spain | Age in years (mean): 49 | IL-12 was reduced in the relapsing-remitting supplemented group compared to placebo (p < 0.05). | ||||
Sample size (n): 32 | IFN-y levels decreased for all MS-treated groups | |||||
Total study period (weeks): 4 | ||||||
Probiotics | ||||||
Kouchaki et al., 2017
Clinical and metabolic response to probiotic supplementation in patients with multiple sclerosis: a randomized, double-blind, placebo-controlled trial. Clin. Nutr. (Edinburgh, Scotland). 2017; 36: 1245-1249 | Study design: RCT | MS diagnosis: Relapse remitting | Probiotics (Lactobacillus acidophilus, Lactobacillus casei, Bifidobacterium bifidum and Lactobacillus fermentum, 2 x 10^9 CFU/g each) | EDSS, QoL(using the general health questionnaire), depression and anxiety (using the Beck Depression Inventory and the Depression Anxiety and Stress Scale), CRP, nitric oxide metabolites, malondialdehyde, insulin, HOMA IR, beta cell function, total/HDL cholesterol, insulin sensitivity check index, HDL cholesterol, BMI, total antioxidant capacity, fasting plasma glucose, glutathione | EDSS (p = 0.001), QOL (p < 0.001), Depression and anxiety (p < 0.001), CRP (p = 0.01), Nitric oxide metabolites (p = 0.002), malondialdehyde (p = 0.04), insulin, HOMA IR (p = 0.001), beta cell function (p < 0.001), total/HDL cholesterol (p = 0.02), insulin sensitivity check index (p < 0.001), HDL cholesterol (p = 0.02) improved in the intervention group compared to the placebo group. No other significant between group differences. | 5 |
Country: Iran | Age in years (mean): 34 | |||||
Sample size (n): 60 | ||||||
Total study period (weeks): 12 | ||||||
Curcumin | ||||||
Dolati et al., 2018 | Study design: RCT | MS diagnosis: RRMS | Curcumin (nano-encapsulated, 80 mg/day) | Gene expression levels of miR-32, miR-16, miR-45. mRNA expression of genes (NF-κB, AP-1, STAT-1, STAT5, IL-1β, IL-6, IL-8, TNF-α, IFN– γ, CCL2 and CCL5) miRNA-dependent targets (FoxP3, PDCD1, Sirtuin1, Sox2), Serum inflammatory cytokines (IFN–γ, CCL5, CCL2, , IL-1β, IL-6, IL-8, TNF-α), EDSS | miR-45 (p < 0.001), miR-32 (p = 0.0039), IFN–γ (p = 0.0025), CCL5 (p = 0.0003), CCL2 (p = 0.0029), FoxP3 (p = 0.02), PDCD1 (p = 0.0012), Sirtuin1 (p = 0.0062), Sox2 (p = 0.0032), STAT1 (p = 0.0001), STAT5 (p = 0.0001), NFKB (p < 0.0001), AP-1 (p = 0.047) significantly improved in the intervention group compared to placebo. | 4 |
Country: Iran | Age in years (mean): 34.9 | No other significant between-group differences reported. | ||||
Sample size (n): 50 | ||||||
Total study period (months): 6 | ||||||
MS14, a proprietary herbal formulation | ||||||
Nabavi et al. (2009) | Study design: RCT-cross over | MS diagnosis: Relapse remitting or Secondary progressive | MS14, a proprietary herbal formulation containing 90% Penaeus latisculatus, 5% Apium graveolens and 5% Hypericum perforatum (50 mg/kg/day) | QoL (using the Hamburg quality of life questionnaire on multiple sclerosis) | Lower limb mobility sub score significantly improved in the intervention group (p = 0.048), compared to the placebo group. No other significant between-group differences reported. | 3 |
Country: Iran | Age in years (mean): 30.8 | |||||
Sample size (n): 38 | ||||||
Total study period (weeks): 3 | ||||||
Coenzyme Q10 | ||||||
Sanoobar et al. (2015) | Study design: RCT | MS diagnosis: Relapse remitting | Coenzyme Q10 (500 mg/day) | Fatigue (using the Fatigue Severity Scale), depression (using the Beck Depression Inventory) | Fatigue (p < 0.001) and depression (p < 0.001) was significantly decreased in participants receiving the intervention compared to the placebo group | 3 |
Country: Iran | Age in years (mean): 32 | |||||
Sample size (n): 48 | ||||||
Total study period (weeks): 12 | ||||||
Cranberry extract | ||||||
Gallien et al., 2014
Cranberry versus placebo in the prevention of urinary infections in multiple sclerosis: a multicenter, randomized, placebo-controlled, double-blind trial. Mult. Scler. 2014; 20: 1252-1259 | Study design: RCT | MS diagnosis: Mixed diagnoses | Cranberry extract (36mg proanthocyanidins per day) | First symptomatic urinary tract infection, number of UTIs, QoL (using the Qualiveen scale), EDSS, symptomatology of urinary disorders, relapses antibiotic consumption | No significant between group differences except at month 9 where placebo group had higher QoL compared to intervention (p = 0.02) | 5 |
Country: France | Age in years (mean): 49 | |||||
Sample size (n): 171 | ||||||
Total study period (years): 1 | ||||||
Glucosamine sulphate | ||||||
Shaygannejad et al., 2010 | Study design: RCT | MS diagnosis: Relapse remitting | Glucosamine sulphate (1000 mg/day) | EDSS progression, relapse rate | No significant between-group differences reported. | 5 |
Country: Iran | Age in years (mean): 30.25 | |||||
Sample size (n): 97 | ||||||
Total study period (months): 6 | ||||||
Gamma-tocopherol | ||||||
Pantzaris et al., 2013 | Study design: RCT | MS diagnosis: Relapse remitting | Gamma-tocopherol (760 mg/day) | Annualized relapse rate, EDSS progression, T2 lesions progression | No significant between-group differences reported. | 5 |
Country: Cyprus | Age in years (mean): 37.9 | |||||
Sample size (n): 40 (omega 3 groups not included) | ||||||
Total study period (months): 30 | ||||||
Riboflavin | ||||||
Naghashpour et al., 2013
Riboflavin supplementation to patients with multiple sclerosis does not improve disability status nor is riboflavin supplementation correlated to homocysteine. Int. J. Vitamin Nutr. Res. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung Journal international de vitaminologie et de nutrition. 2013; 83: 281-290 | Study design: RCT | MS diagnosis: Relapse remitting or secondary progressive | Riboflavin (10 mg/day) | EDSS, serum homocysteine | No significant between-group differences reported. | 4 |
Country: Iran | Age in years (mean): 33 | |||||
Sample size (n): 29 | ||||||
Total study period (months): 6 with 3 months washout | ||||||
Andrographis paniculata | ||||||
Bertoglio et al., 2016 | Study design: RCT | MS diagnosis: Relapse remitting | Andrographis paniculata (340 mg/day, total andrographolides: 170 mg) | Fatigue (using the FSS), EDSS | Fatigue was significant improvement in the intervention group compared to placebo (p value not reported). No other significant between-group differences reported. | 5 |
Country: Chile | Age in years (mean): 37 | |||||
Sample size (n): 24 | ||||||
Total study period (years): 1 | ||||||
Ginseng | ||||||
Etemadifar et al., 2013 | Study design: RCT | MS diagnosis: Relapse remitting | Ginseng (500 mg/day) | Fatigue (using the Modified Fatigue Impact Scale) and QoL (using the Multiple Sclerosis Quality Of Life Questionnaire | Fatigue (p = 0.046) and QoL (p ≤ 0.0001) were significantly improved in the intervention group compared to placebo. | 4 |
Country: Iran | Age in years (mean): 33 | |||||
Sample size (n): 60 | ||||||
Total study period (months): 3 |
3.2 Trial characteristics
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Gonsette R.E.
- Sindic C.
- D'Hooghe M B.
- De Deyn P.P.
- Medaer R.
- Michotte A.
- Seeldrayers P.
- Guillaume D
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
- Lovera J.
- Ramos A.
- Devier D.
- Garrison V.
- Kovner B.
- Reza T.
- Koop D.
- Rooney W.
- Foundas A.
- Bourdette D
- Polyphenon E.
- Bitarafan S.
- Saboor-Yaraghi A.
- Sahraian M.A.
- Soltani D.
- Nafissi S.
- Togha M.
- Moghadam N.B.
- Roostaei T.
- Honarvar N.M.
- Harirchian M.H
- Mohammadzadeh Honarvar N.
- Harirchian M.H.
- Abdolahi M.
- Abedi E.
- Bitarafan S.
- Koohdani F.
- Siassi F.
- Sahraian M.A.
- Chahardoli R.
- Zareei M.
- Salehi E.
- Geranmehr M.
- Saboor-Yaraghi A.A
- Drake M.J.
- Canham L.
- Cotterill N.
- Delgado D.
- Homewood J.
- Inglis K.
- Johnson L.
- Kisanga M.C.
- Owen D.
- White P.
- Cottrell D
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
- Gallien P.
- Amarenco G.
- Benoit N.
- Bonniaud V.
- Donze C.
- Kerdraon J.
- de Seze M.
- Denys P.
- Renault A.
- Naudet F.
- Reymann J.M
- Naghashpour M.
- Majdinasab N.
- Shakerinejad G.
- Kouchak M.
- Haghighizadeh M.H.
- Jarvandi F.
- Hajinajaf S
3.3 Trial results
3.3.1 Alpha lipoic acid
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
3.3.2 Ginkgo biloba
3.3.3 Inosine
- Gonsette R.E.
- Sindic C.
- D'Hooghe M B.
- De Deyn P.P.
- Medaer R.
- Michotte A.
- Seeldrayers P.
- Guillaume D
- Gonsette R.E.
- Sindic C.
- D'Hooghe M B.
- De Deyn P.P.
- Medaer R.
- Michotte A.
- Seeldrayers P.
- Guillaume D
- Gonsette R.E.
- Sindic C.
- D'Hooghe M B.
- De Deyn P.P.
- Medaer R.
- Michotte A.
- Seeldrayers P.
- Guillaume D
- Gonsette R.E.
- Sindic C.
- D'Hooghe M B.
- De Deyn P.P.
- Medaer R.
- Michotte A.
- Seeldrayers P.
- Guillaume D
3.3.4 Acetyl-L-Carnitine
3.3.5 Biotin
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
3.3.6 Green tea extract
- Lovera J.
- Ramos A.
- Devier D.
- Garrison V.
- Kovner B.
- Reza T.
- Koop D.
- Rooney W.
- Foundas A.
- Bourdette D
- Polyphenon E.
- Lovera J.
- Ramos A.
- Devier D.
- Garrison V.
- Kovner B.
- Reza T.
- Koop D.
- Rooney W.
- Foundas A.
- Bourdette D
- Polyphenon E.
3.3.7 Retinyl palmitate (Vitamin A)
- Bitarafan S.
- Saboor-Yaraghi A.
- Sahraian M.A.
- Soltani D.
- Nafissi S.
- Togha M.
- Moghadam N.B.
- Roostaei T.
- Honarvar N.M.
- Harirchian M.H
- Mohammadzadeh Honarvar N.
- Harirchian M.H.
- Abdolahi M.
- Abedi E.
- Bitarafan S.
- Koohdani F.
- Siassi F.
- Sahraian M.A.
- Chahardoli R.
- Zareei M.
- Salehi E.
- Geranmehr M.
- Saboor-Yaraghi A.A
3.3.8 Melatonin
- Drake M.J.
- Canham L.
- Cotterill N.
- Delgado D.
- Homewood J.
- Inglis K.
- Johnson L.
- Kisanga M.C.
- Owen D.
- White P.
- Cottrell D
3.3.9 Creatine monohydrate
3.3.10 Lemon verbena
3.3.11 Probiotics
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
3.3.12 Curcumin
3.3.13 MS14, propriety herbal formulation
3.3.14 Co-enzyme Q10
3.3.15 Cranberry extract
- Gallien P.
- Amarenco G.
- Benoit N.
- Bonniaud V.
- Donze C.
- Kerdraon J.
- de Seze M.
- Denys P.
- Renault A.
- Naudet F.
- Reymann J.M
3.3.16 Glucosamine sulphate
3.3.17 Gamma-tocopherol
3.3.18 Riboflavin (Vitamin B2)
- Naghashpour M.
- Majdinasab N.
- Shakerinejad G.
- Kouchak M.
- Haghighizadeh M.H.
- Jarvandi F.
- Hajinajaf S
3.3.19 Andrographis paniculata
3.3.20 Ginseng
3.4 Adverse events
- Lovera J.
- Ramos A.
- Devier D.
- Garrison V.
- Kovner B.
- Reza T.
- Koop D.
- Rooney W.
- Foundas A.
- Bourdette D
- Polyphenon E.
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
4. Discussion
- Bitarafan S.
- Saboor-Yaraghi A.
- Sahraian M.A.
- Soltani D.
- Nafissi S.
- Togha M.
- Moghadam N.B.
- Roostaei T.
- Honarvar N.M.
- Harirchian M.H
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
- Khalili M.
- Azimi A.
- Izadi V.
- Eghtesadi S.
- Mirshafiey A.
- Sahraian M.A.
- Motevalian A.
- Norouzi A.
- Sanoobar M.
- Eskandari G.
- Farhoudi M.
- Amani F
- Mohammadzadeh Honarvar N.
- Harirchian M.H.
- Abdolahi M.
- Abedi E.
- Bitarafan S.
- Koohdani F.
- Siassi F.
- Sahraian M.A.
- Chahardoli R.
- Zareei M.
- Salehi E.
- Geranmehr M.
- Saboor-Yaraghi A.A
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
- Motl R.W.
- Mowry E.M.
- Ehde D.M.
- LaRocca N.G.
- Smith K.E.
- Costello K.
- Shinto L.
- Ng A.V.
- Sullivan A.B.
- Giesser B.
- McCully K.K.
- Fernhall B.
- Bishop M.
- Plow M.
- Casaccia P.
- Chiaravalloti N.D
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
- Tourbah A.
- Gout O.
- Vighetto A.
- Deburghgraeve V.
- Pelletier J.
- Papeix C.
- Lebrun-Frenay C.
- Labauge P.
- Brassat D.
- Toosy A.
- Laplaud D.A.
- Outteryck O.
- Moreau T.
- Debouverie M.
- Clavelou P.
- Heinzlef O.
- De Seze J.
- Defer G.
- Sedel F.
- Arndt C
- Tourbah A.
- Lebrun-Frenay C.
- Edan G.
- Clanet M.
- Papeix C.
- Vukusic S.
- De Seze J.
- Debouverie M.
- Gout O.
- Clavelou P.
- Defer G.
- Laplaud D.A.
- Moreau T.
- Labauge P.
- Brochet B.
- Sedel F.
- Pelletier J
- Strasser B.
- Geiger D.
- Schauer M.
- Gostner J.M.
- Gatterer H.
- Burtscher M.
- Fuchs D
- Berer K.
- Gerdes L.A.
- Cekanaviciute E.
- Jia X.
- Xiao L.
- Xia Z.
- Liu C.
- Klotz L.
- Stauffer U.
- Baranzini S.E.
- Kümpfel T.
- Hohlfeld R.
- Krishnamoorthy G.
- Wekerle H
- Kouchaki E.
- Tamtaji O.R.
- Salami M.
- Bahmani F.
- Daneshvar Kakhaki R.
- Akbari E.
- Tajabadi-Ebrahimi M.
- Jafari P.
- Asemi Z
5. Conclusion
Funding and sponsorship
Appendix. Supplementary materials
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