ArticleIntegrative medicine research2019
A naturalistic study of herbal medicine for self-reported depression and/or anxiety a protocol.
Article in Integrative medicine research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Therapeutic efficacy of botanicals in psychological disorders in menopausal women: a systematic and scoping review.Frontiers in pharmacology · 2025Pooled it
- Vulnerability to anxiety and depression symptoms co-occurring among adult patients at family medicine clinics in Najran University Hospital, Saudi Arabia.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2026Article
- The anxiolytic effect of salicylic acid is mediated via the GABAergic system in the fear potentiated plus maze behavior in rats.Molecular biology reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMental health conditions including anxiety and depression account for around 8% of the global disease burden. Anxiety and depression often coexist and impose a high individual and social burden. Patients with mental and behavioural conditions may be at increased risk of co-morbidities and are often high health-care utilisers. Herbal medicine is estimated to be used by up to 80% of the worlds population, and by 22% of Australian women seeking care for depression. The holistic and tailored treatment approach offered by practitioners of herbal medicine is difficult to capture in randomised controlled trials and as such there is a paucity of research demonstrating the outcomes of real-life practice. This project aims to address this gap with a whole practice, observational model. METHODS/
designThe study will employ a naturalistic observational design. Two-hundred patient participants will be recruited to be treated by 15 clinician participants from different naturopathic clinics. The observed changes in anxiety and depression symptoms of patients will be documented across three consultations using validated patient-reported outcome measures (SF-36, DASS-21, GHQ-28 and POMS-2).
conclusionClinical studies investigating the efficacy of individualised herbal medicine treatment as prescribed by a naturopath are rare. Our study attempts to fill this gap with a longitudinal observation of individualised care as practiced by naturopaths in Australia; to offer valuable insights into the effectiveness of individualised herbal medicine practice and provide contextualisation of data currently focused on individual herbal medicines in specific conditions.Trial Registration: Australian and New Zealand Clinical Trials Registry: ACTRN12616000010493.
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.