Herbal ephedra/caffeine for weight loss: a 6-month randomized safety and efficacy trial
Abstract
Objective To examine long-term safety and efficacy for weight loss of an herbal Ma Huang and Kola nut supplement (90/192 mg/day ephedrine alkaloids/caffeine).Design Six-month randomized, double-blind placebo controlled trial.Subjects A total of 167 subjects (body mass index (BMI) 31.8+/-4.1 kg/m(2)) randomized to placebo (n=84) or herbal treatment (n=83) at two outpatient weight control research units.Measurements Primary outcome measurements were changes in blood pressure, heart function and body weight. Secondary variables included body composition and metabolic changes.Results By last observation carried forward analysis, herbal vs placebo treatment decreased body weight (-5.3+/-5.0 vs. -2.6+/-3.2 kg, P<0.001), body fat (-4.3+/-3.3 vs. -2.7+/-2.8 kg, P=0.020) and LDL-cholesterol (-8+/-20 vs. 0+/-17 mg/dl, P=0.013), and increased HDL-cholesterol (+2.7+/-5.7 vs. -0.3+/-6.7 mg/dl, P=0.004). Herbal treatment produced small changes in blood pressure variables (+3 to -5 mm Hg, P< or =0.05), and increased heart rate (4+/-9 vs. -3+/-9 bpm, P<0.001), but cardiac arrhythmias were not increased (P>0.05). By self-report, dry mouth (P<0.01), heartburn (P<0.05), and insomnia (P<0.01) were increased and diarrhea decreased (P<0.05). Irritability, nausea, chest pain and palpitations did not differ, nor did numbers of subjects who withdrew.Conclusions In this 6-month placebo-controlled trial, herbal ephedra/caffeine (90/192 mg/day) promoted body weight and body fat reduction and improved blood lipids without significant adverse events.
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The combination of ephedrine and caffeine is a potent mediator of short-term weight loss that likely involves activation of BAT by β3 adrenergic receptors.
“However, the combination of ephedrine and caffeine is a potent mediator of short-term weight loss 139 that likely involves activation of BAT by β3 adrenergic receptors 140.”
From Cellular bioenergetics as a target for obesity therapy (2010) · cites this paper as [139]
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- Authors
- Boozer, C., Daly, P., Homel, P., Solomon, J., Blanchard, D., Nasser, J., Strauss, R., & Meredith, T.
- Affiliations
- St. Luke's-Roosevelt Hospital Center (US)
- Beth Israel Deaconess Medical Center (US)
- Mount Sinai Beth Israel (US)
- Cigna (United States) (US)
- World Health Organization (CH)
- Corresponding author
- Boozer, CN
- Venue
- International Journal of Obesity
- Published
- 2002-05
- Volume
- 26
- Issue
- 5
- Pages
- 593-604
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2120756383
- Cited by
- 203
- References
- 28
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 13 · 2020: 10 · 2019: 6 · 2018: 7 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 8 · 2013: 6 · 2012: 10
- FWCI
- 12.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases (P30 DK-26687, P30DK026687)
- Topics
- Health Sciences › Medicine › Pharmacology › Pharmacology and Obesity Treatment
- Health Sciences › Medicine › Pharmacology › Coffee research and impacts
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Medicinal Plants and Bioactive Compounds
- Keywords
- Ephedra, caffeine, Ma Huang, kola nut, herbal weight loss supplements, obesity, weight loss, fat mass, serum lipids, LDL cholesterol, HDL cholesterol, blood pressure, heart rate, cardiac arrhythmias, adverse events, xerostomia, heartburn, insomnia, long-term safety
- MeSH terms
- Blood Glucose, Blood Pressure, Body Composition, Body Weight, Caffeine, Cholesterol, Ephedrine, Heart Rate, Humans, Cholesterol, HDL, Cholesterol, LDL, Patient Compliance, Placebos, Prospective Studies, Triglycerides, Weight Loss, Electrocardiography, Ambulatory, Dietary Supplements, Plant Preparations, Ephedra, Ephedra sinica, Cola
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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