Evidence map›Paper›PMID 35747321›Full record

ArticleHeliyon2022

The role of natural products from medicinal plants against COVID-19: traditional medicine practice in Tanzania.

Stephano Hanolo Mlozi

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
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

1 author.

Stephano Hanolo MloziUniversity of Dares Salaam, Mkwawa University College of Education, Department of Chemistry, P.O. Box 2513, Iringa, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pandemic COVID-19 is a dangerous disease caused by a new coronavirus known as severe acute respiratory syndrome (SARS-CoV-2). There is non-reliable drug or vaccine available to combat for SARS-CoV-2. More efforts to search for antiviral agents against COVID-19 are obligatory, whereas phytochemicals are potent solution. Thus, this study involved phytochemical screening and examining medicinal plants used to combat COVID-19 in Tanzania. Methods: The plant materials were collected from practitioners. The plant extracts were then subjected for qualitative phytochemical screening so as to identify the nature of secondary metabolites. Results: Eucalyptus species, pepper, berries, ginger, garlic, onions and lemon were identified as commonly plants used. The flavonoids, tannins, fatty acids, steroids, terpenoids, and saponins were identified through phytochemical screening. Identified natural phytocompounds revealed to be potential in exhibiting antiviral activities by disrupting the viral life cycle including viral entrance, replication, assembly, and discharge, as well as virus-specific host targets. Thus, this prompt increasing of pharmaceutical industry focused on phytochemical extracts from medicinal plants, and aromatic herbs in the hopes of discovering lead compounds, with purposeful to antiviral medications. Conclusion: The medicinal plants and phytocompounds revealed to have significant role due to their substantial antiviral activity against SARS-CoV-2 and other coronaviruses. The noted natural products inspire collective efforts in determination and gathering funds to support scientific researchers to investigate more phytochemicals from medicinal plants for development of antiviral drug against COVID-19.

Indexed as

Antiviral drugsCOVID-19Medicinal plantsPhytochemicalsPhytochemical screening

Identifiers

PMID35747321
PMCPMC9212986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.