Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 20

The DOI matches its Crossref record.

The study of Anethum graveolens L.(Dill) in the case of diabetes mellitus (DM).

Yousaf, Aqsa, Shahid, Sammia·2020·Asian Journal of Research in Pharmaceutical Science

Abstract

Anethuem graveolens (dill) is a traditional herb used for flavouring the food materials. It is used as herbal medicine and aromatic herb for the treatment of flatulence, indigestion, bad breath, lactation motivation, stomachache, insomnia, gastrointestinal complications, intestinal spasms. Anethum graveolens possess significant pharmacological activities, particularly in diabetes mellitus and cardiovasculars disorders. Aerial parts of the plant are famous for its clinical importance. Now, Fresh leaves and seeds in dried form of Anethum graveolens are frequently used for the treatment of diabetes mellitus and cardiovascular problems. Anethum graveolens also has hypolipidemic and hypoglycemic effects and it reduce the glucose level in blood. It has some important therapeutic effects and used in Iranian folk medicine as an anti-hypercholesterolaemic plant. Limonene and Carvone are the most important constituents of A. graveolens that suppress the cyclooxygenase 1 and 2 pathways and prevent the release of inflammatory mediators. It has also antiglycation and antioxidant properties in form of dill tablet. It is a herbal medicine used as hypolipidemic agent in Iran. Anethum graveolens is best known as a reducer of glucose, cholesterol and lipid in traditional medicines. It is favorable for the reduction of hypoglycemia and lipid disorders in diabetic patients. AG have the different pharmacological effects such as antimicrobial, antispasmodic, antisecretary, anticancer, antigastric…

Overview

Integrity signals

Registry

Crossref · 10.5958/2231-5659.2020.00045.4

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Metadata

Authors
Yousaf, A., & Shahid, S.
Venue
Asian Journal of Research in Pharmaceutical Science
Published
2020
Volume
10
Issue
4
Pages
248-256
ISSN
  • 2231-5640
  • 2231-5659
Cited by
20
References
0
Language
en

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The study of Anethum graveolens L.(Dill) in the case of diabetes mellitus (DM). https://app.cochat.ai/papers/10.5958/2231-5659.2020.00045.4
The paper
Yousaf, A., & Shahid, S. (2020). The study of Anethum graveolens L.(Dill) in the case of diabetes mellitus (DM). Asian Journal of Research in Pharmaceutical Science. https://doi.org/10.5958/2231-5659.2020.00045.4

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.