Evidence map›Paper›PMID 40076986›Full record

ReviewInternational journal of molecular sciences2025

The Potential of Selected Plants and Their Biologically Active Molecules in the Treatment of Depression and Anxiety Disorders.

Nicol Urbanska, Tolulope Joshua Ashaolu, Simona Mattova, Patrik Simko, Terezia Kiskova

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Frontiers in psychiatry · 2026
    Review
  4. Ashwagandha (Nutrients · 2025
    Review
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

5 authors.

Nicol UrbanskaInstitute of Biology and Ecology, Faculty of Science, Pavol Jozef Safarik University in Kosice, Srobarova 2, 041 54 Kosice, Slovakia.ORCID 0000-0003-1693-0766
Tolulope Joshua AshaoluInstitute for Global Health Innovations, Duy Tan University, 254 Nguyen Van Linh Street, Thanh-Khe District, Da Nang 550000, Vietnam.ORCID 0000-0002-9397-6357
Simona MattovaInstitute of Biology and Ecology, Faculty of Science, Pavol Jozef Safarik University in Kosice, Srobarova 2, 041 54 Kosice, Slovakia.ORCID 0009-0000-7735-1421
Patrik SimkoInstitute of Biology and Ecology, Faculty of Science, Pavol Jozef Safarik University in Kosice, Srobarova 2, 041 54 Kosice, Slovakia.
Terezia KiskovaInstitute of Pathology, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Rastislavova 43, 040 01 Kosice, Slovakia.ORCID 0000-0003-1184-9790

Funding

VEGA 1/0648/25
6 · The paper itself

Abstract

The incidence of anxiety and depression disorders is increasing worldwide. There is an increasing incidence of hard-to-treat depression with various aspects of origin. Almost 80% of people prefer to use natural remedies and supplements as their primary healthcare solution. Not surprisingly, around one-third of drugs were inspired by nature. Over the past three decades, the use of such remedies has increased significantly. Synthetic antidepressants may cause various negative side effects, whereas herbal medicines are favored because of their ability to relieve symptoms with minimal to no side effects and lower financial burden. This review provides an overview of herbs and biologically active compounds used to treat depression.

Indexed as

Antidepressive AgentsAnxiety DisordersDepressionPlant ExtractsPlants, MedicinalAnimalsHumansPhytotherapyAntidepressive AgentsPlant Extractsanxietybiologically active substancesdepressionherbal medicineplants

Identifiers

PMID40076986
PMCPMC11900588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.