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Nitazoxanide: History, Applications & Research
Nitazoxanide, sold under the brand name Alinia among others, is a broad-spectrum antiparasitic and broad-spectrum antiviral medication that is used in medicine for the treatment of various helminthic, protozoal, and viral infections. It is indicated for the treatment of infection by Cryptosporidium parvum and Giardia lamblia in immunocompetent…
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Nitazoxanide topic overview
The analysis highlights History, Applications and Research as prominent areas in the source structure around Nitazoxanide.
Related topics
67
Source areas
11
Connected nodes
78
Extracted relationships
127
Concept neighborhoods
28
Bridge connections
78
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 16 topics
History · 10 topics
Uses · 9 topics
Pharmacology · 8 topics
Interactions · 7 topics
Research · 6 topics
Chemistry · 3 topics
Contraindications · 3 topics
Pharmaceutical products · 3 topics
Adverse effects · 1 topics
Overdose · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
3D model (JSmol)
Interactive image
AHFS/Drugs.com
Monograph
ATC code
P01AX11 (WHO) J01RA17 (WHO)
CAS Number
55981-09-4 Y
ChEMBL
ChEMBL1401 Y
ChemSpider
38037 Y
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Nitazoxanide connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Nitazoxanide shows recurring relationship patterns in the source. For example, Nitazoxanide → AIDS, Among, CD4, Controlled, Dr, FDA, GA, However, In, In Zambia, Inc, Initial, Jean-François Rossignol, Marietta, Mexico, Pasteur Institute, Recent, Romark, Romark Laboratories, Rossignol Another extracted example is Nitazoxanide → Adonid, Alinia, Allpar, Annita, Celectan, Colufase, Daxon, Dexidex, Diatazox, Kidonax, Mitafar, Nanazoxid, Neocalf, Netazox, Niazid, Nitamax, Nitax, Nitaxide, Nitaz, Nizonide. Use these groups to spot repeated connection types before inspecting the individual relationships.
Nitazoxanide
Top relations
related to history· 27
Nitazoxanide → AIDS, Among, CD4, Controlled, Dr, FDA, GA, However, In, In Zambia, Inc, Initial, Jean-François Rossignol, Marietta, Mexico, Pasteur Institute, Recent, Romark, Romark Laboratories, Rossignol
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 127 structured relationships around Nitazoxanide. Examples in this analysis include Nitazoxanide → 3D model (JSmol) → Interactive image and Nitazoxanide → AHFS/Drugs.com → Monograph. The table shows each extracted connection, where it came from and its confidence.
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Nitazoxanide bring nearby vocabulary together. In this analysis, examples include Treatment, Antiparasitic and Drug. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Nitazoxanide
Treatment
Antiparasitic
Drug
Class
Hepatitis
Tizoxanide
Chronic
Drugs
Protein
Efficacy
Hbsag
Loss
nitazoxanide
Treatment
Antiparasitic
Drug
Class
Hepatitis
Tizoxanide
Chronic
Drugs
Protein
Efficacy
Hbsag
Loss
broad-spectrum antiparasitic
Class
Antiviral
Others
Antiparasitic
Broad-spectrum
Drug
Also
Brand
Infections
Thiazolides
Active
Drugs
antiparasitic
Class
Antiviral
Broad-spectrum
Drug
Also
Brand
Infections
Others
Thiazolides
Active
Drugs
Viral
broad-spectrum antiviral
Brand
Others
Antiviral
Broad-spectrum
Drugs
Antiparasitic
Drug
Class
Names
Infections
Name
Thiazolides
drug class
Thiazolides
Drugs
Drug
Metabolite
Active
Tizoxanide
Protein
Nitazoxanide
Names
Hepatitis
Others
Effects
drug toxicity
Metabolite
Tizoxanide
Drugs
Protein
Nitazoxanide
Hepatitis
Names
Others
Thiazolides
Treatment
Cryptosporidiosis
Effects
phase ii clinical trials
Efficacy
Trials
Cryptosporidiosis
Used
Chronic
Hepatitis
Treatment
Infections
Influenza
Viral
Vitro
Nitazoxanide
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Nitazoxanide, one of the stronger structural bridges in this analysis connects Nitazoxanide with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Nitazoxanide
Nodes79
Edges78
Triples127
Avg. degree1.97
Density0.025316
Components1
Source & methodology
TTTA analyzes the structure around Nitazoxanide to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications & Research, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
