The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Adaptogenic and central nervous system effects of single doses of 3% rosavin and 1% salidroside Rhodiola rosea L. extract in mice
Abstract
Rhodiola rosea L., or ‘golden root’, is a popular plant in traditional medicine in Eastern Europe and Asia, with a reputation for improving depression, enhancing work performance, eliminating fatigue and treating symptoms of asthenia subsequent to intense physical and psychological stress. Due to these therapeutic properties, R. rosea is considered to be one of the most active adaptogenic drugs. To confirm and extend results obtained in the few preclinical and clinical studies available in English language journals, the purpose of the present study was to re‐investigate the effects produced by a single oral administration of an R. rosea hydroalcohol extract (containing 3% rosavin and 1% salidroside) on the central nervous system in mice. The extract was tested on antidepressant, adaptogenic, anxiolytic, nociceptive and locomotor activities at doses of 10, 15 and 20 mg/kg, using predictive behavioural tests and animal models. The results show that this R. rosea extract significantly, but not dose‐dependently, induced antidepressant‐like, adaptogenic, anxiolytic‐like and stimulating effects in mice. This study thus provides evidence of the efficacy of R. rosea extracts after a single administration, and confirms many preclinical and clinical studies indicating the adaptogenic and stimulating effects of such R. rosea extracts. Moreover, antidepressant‐like and anxiolytic‐like activities of R. rosea were shown in mice for the first time. Copyright © 2006 John Wiley & Sons, Ltd.
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Depression: a new animal model sensitive to antidepressant treatments
PORSOLT, R. D., LE PICHON, M., & JALFRE, M. (1977) · Nature · doi:10.1038/266730a0 · Cited by 4,451
Assessing antidepressant activity in rodents: recent developments and future needs
Cryan, J. F., Markou, A., & Lucki, I. (2002) · Trends in Pharmacological Sciences · doi:10.1016/s0165-6147(02)02017-5 · Cited by 1,551 · cited 1×
“The reduction in immobility is considered as a behavioural profile that is consistent with an antidepressant-like action (Cryan et al., 2002).”
BackgroundDunn, A. J., & Berridge, C. W. (1990) · Brain Research Reviews · doi:10.1016/0165-0173(90)90012-d · Cited by 1,352
New Substances of Plant Origin Which Increase Nonspecific Resistance
Brekhman, I. I., & Dardymov, I. V. (1969) · Annual Review of Pharmacology · doi:10.1146/annurev.pa.09.040169.002223 · Cited by 595
Plant adaptogens III. Earlier and more recent aspects and concepts on their mode of action
Panossian, A., Wikman, G., & Wagner, H. (1999) · Phytomedicine · doi:10.1016/s0944-7113(99)80023-3 · Cited by 211
Effect of Y1 receptor deficiency on motor activity, exploration, and anxiety
Karl, T., Burne, T. H. J., & Herzog, H. (2006) · Behavioural Brain Research · doi:10.1016/j.bbr.2005.08.019 · Cited by 95 · cited 2×
“rearing) in the central and peripheral zone were recorded automatically (software settings: box size: 4; ambulatory trigger: 2; resting delay: 1500 ms) (Karl et al., 2006).”
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Sarris, J., Panossian, A., Schweitzer, I., Stough, C., & Scholey, A. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.04.002 · Cited by 469
Panossian, A. G., Efferth, T., Shikov, A. N., Pozharitskaya, O. N., Kuchta, K., Mukherjee, P. K., Banerjee, S., Heinrich, M., Wu, W., Guo, D., et al. (2021) · Medicinal Research Reviews · doi:10.1002/med.21743 · Cited by 347
Medicinal Plants of the Russian Pharmacopoeia; their history and applications
Shikov, A. N., Pozharitskaya, O. N., Makarov, V. G., Wagner, H., Verpoorte, R., & Heinrich, M. (2014) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2014.04.007 · Cited by 337
Feeding and reward: Perspectives from three rat models of binge eating
Corwin, R. L., Avena, N. M., & Boggiano, M. M. (2011) · Physiology & Behavior · doi:10.1016/j.physbeh.2011.04.041 · Cited by 289
Panossian, A., Seo, E.-J., & Efferth, T. (2018) · Phytomedicine · doi:10.1016/j.phymed.2018.09.204 · Cited by 127
Metadata
- Authors
- Perfumi, M., & Mattioli, L.
- Venue
- Phytotherapy Research
- Publisher
- Wiley
- Published
- 2006-10-27
- Volume
- 21
- Issue
- 1
- Pages
- 37-43
- ISSN
- 0951-418X (ISSN-L)
- 1099-1573
- OpenAlex
- W2076105604
- Cited by
- 176
- References
- 6
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- closed
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