ArticlePharmacognosy magazine2016
Effect of Withinia Somnifera and Shilajit on Alcohol Addiction in Mice.
Article in Pharmacognosy magazine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Nutraceutical Applications ofFoods (Basel, Switzerland) · 2026Review
- A Complex Interplay between Nutrition and Alcohol use Disorder: Implications for Breaking the Vicious Cycle.Current pharmaceutical design · 2024Review
- Medicinal plants used by traditional medicine practitioners in treatment of alcohol-related disorders in Bushenyi District, southwestern Uganda.Frontiers in pharmacology · 2024Article
- Herbo-mineral formulation 'Ashwashila' attenuates rheumatoid arthritis symptoms in collagen-antibody-induced arthritis (CAIA) mice model.Scientific reports · 2019Article
- Effect of Shankhpushpi on Alcohol Addiction in Mice.Pharmacognosy magazine · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlcohol addiction is a social problem leading to both loss of health and economic prosperity among addicted individuals. Common properties of anti-addictive compounds include anti-anxiety, anticonvulsants, anti-depressant, and nootropic actions primarily through modulation of gamma-aminobutyric acid (GABA) and serotonergic systems.
objectiveHere, we screen ashwagandha and shilajit known ethnopharmacologically as nervine tonic and adaptogenic herbs for possible anti-addictive potential. MATERIALS AND
methodsEffect of ashwagandha churna and shilajit was measured on ethanol withdrawal anxiety using elevated plus maze. Role of ashwagandha and shilajit on chronic ethanol consumption (21 days) was measured using two bottle choice protocol of voluntary drinking. We also measured the effect of the above herbs on corticohippocampal GABA, dopamine, and serotonin levels.
resultsBoth ashwagandha and shilajit were found to reduce alcohol withdrawal anxiety in a dose-dependent manner. These herbs alone or in combination also decreased ethanol intake and increased water intake significantly after 21 days of chronic administration. Chronic administration of ashwagandha was found to significantly increase GABA and serotonin levels whereas shilajit altered cortico-hippocampal dopamine in mice.
conclusionThese central nervous system active herbs alone or in combination reduced both alcohol dependence and withdrawal thus showing promising anti-addictive potential. SUMMARY: Withinia Somnifera alone and in combination with Shilajeet prevented ethanol withdrawal and alcohol addiction Abbreviations used: GABA: Gama aminobutyric acid, CNS: Central Nervous System, CPP:Condition place preference, DA: Dopamine, 5-HT: 5-hydroxytryptamine, NMDA:N-methyl-D-aspartate.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.