Evidence map›Paper›PMID 34703254›Full record

ReviewInfection and drug resistance2021

Emergence of Ethnomedical COVID-19 Treatment: A Literature Review.

Kevin Aprilio, Gofarana Wilar

Open access · goldAbstract readReview
In one paragraph

Review in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Effect of Sheng Xuexiaoban capsules on Tregs in an ITP mouse model.Annals of medicine and surgery (2012) · 2025
    Article
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Kevin AprilioDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0002-7063-0038
Gofarana WilarDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia.ORCID 0000-0002-0904-3117
Padjadjaran University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of COVID-19 as a new pandemic in the modern era has led the public to a new perspective of health. In the earlier days of the COVID-19 pandemic, many factors made people go on their own ways in finding its supposed "cure". With conventional medicines' limited availability and access, traditional medicines become more appealing due to its widespread availability and increased perception of safety. Several herbal medicines are then believed to be able to alleviate or cure COVID-19 and its symptoms. Similarities and patterns in herbal medicines being used show local wisdom of the respective communities regarding their knowledge of diseases and its treatment, known as ethnomedicine. Despite not being approved yet by regulatory bodies as a definitive guideline in COVID-19 management, the application of ethnomedicine results in several herbal medicine candidates that show a promising result regarding its efficacy in managing COVID-19. This literature review aims to study how a society and its knowledge of medicine responds to a new and currently developing disease, and whether if that knowledge merits further study in search of a cure for the pandemic. Furthermore, the narrative aspect in this review also explores socio-politics and public health aspects and considerations of non-conventional COVID-19 treatment.

Indexed as

COVID-19ethnomedicineherbal medicineSARS-CoV-2

Identifiers

PMID34703254
PMCPMC8541748
OpenAlexW3207759306

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.