Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Caffeine: History, Community, Culture & Applications

Caffeine is a stimulant of the methylxanthine class, and is the most commonly consumed psychoactive drug globally; it is nearly universally legal to produce and sell, usually in the form of caffeinated drinks. It is mainly used for its eugeroic (wakefulness promoting), ergogenic (physical performance-enhancing), or nootropic (cognitive-enhancing)…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Caffeine topic overview

The analysis highlights History, Community, Culture and Applications as prominent areas in the source structure around Caffeine.

Related topics
401
Source areas
14
Connected nodes
415
Extracted relationships
304
Concept neighborhoods
47
Bridge connections
415

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 · 184 topics
Chemistry · 44 topics
Pharmacology · 44 topics
History · 37 topics
Adverse effects · 18 topics
Products · 18 topics
Overdose · 13 topics
Uses · 12 topics
Interactions · 11 topics
Natural occurrence · 7 topics
Society and culture · 7 topics
Other organisms · 3 topics
Research · 2 topics
Commercial sources · 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
Addiction liability
None
AHFS/Drugs.com
Monograph
ATC code
N06BC01 (WHO) D11AX26 (WHO), V04CG30 (WHO)
Bioavailability
99%
CAS Number
58-08-2

Explore all related topics Closing gaps

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.

Overview

Uses

Adverse effects

Overdose

Interactions

Pharmacology

Chemistry

Commercial sources

Natural occurrence

Products

History

Society and culture

Other organisms

Research

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Caffeine connects Entity context

The extracted context around Caffeine shows recurring relationship patterns in the source. For example, Caffeine → Berzelius, Berzelius's, Caffeebase, Caféine, French, Friedlieb Ferdinand Runge, Furthermore, German, However, In, It, Joseph Bienaimé Caventou, Jöns Jacob Berzelius, Kaffebase, Paris, Pelletier's, Pharmacy Society, Phytochemical Discoveries, Pierre Jean Robiquet, Pierre-Joseph Pelletier Another extracted example is Caffeine → Although, Because, Charles II, Chattanooga, Coca-Cola, Drug Act, England, For, Forty Barrels, Frederick II, In, Islamists, Mecca, Ottoman Empire, Prussia, Pure Food, Representatives, Supreme Court, Sweden, Tennessee. Use these groups to spot repeated connection types before inspecting the individual relationships.

Caffeine

Top relations

related to Chemical identification, isolation, and synthesis · 24
Caffeine → Berzelius, Berzelius's, Caffeebase, Caféine, French, Friedlieb Ferdinand Runge, Furthermore, German, However, In, It, Joseph Bienaimé Caventou, Jöns Jacob Berzelius, Kaffebase, Paris, Pelletier's, Pharmacy Society, Phytochemical Discoveries, Pierre Jean Robiquet, Pierre-Joseph Pelletier
related to Historic regulations · 24
Caffeine → Although, Because, Charles II, Chattanooga, Coca-Cola, Drug Act, England, For, Forty Barrels, Frederick II, In, Islamists, Mecca, Ottoman Empire, Prussia, Pure Food, Representatives, Supreme Court, Sweden, Tennessee
related to Natural occurrence · 13
Caffeine → Amazonian, Around, Coffea, Common, Firstly, High, In, Other, Secondly, South American, Temperate, Theobroma, This
related to Religions · 11
Caffeine → Church, Covenants, Doctrine, Gaudiya Vaishnavas, Jesus Christ, Latter-day Saints, Some, The Church, The Church's, The Seventh-day Adventist Church, To
related to Discovery and spread of use · 10
Caffeine → Also, BCE, Chocolate, Columbian Mesoamerica, It, Kola, Mayan, The, West African, Xocolatl
Legal status · 9
Caffeine → AU: Unscheduled, BR: Unscheduled, CA: Unscheduled, CN: OTC SE: Unscheduled[a], DE: Unscheduled, NZ: Unscheduled, UK: General sales list (GSL, OTC), UN: Unscheduled, US: Unscheduled
is a · 9
Caffeine → antagonist of all four adenosine receptor subtypes, bitter, bitter-tasting, coffee, example of convergent evolution among different species.Caffeine may be synthesized in the lab starting with 1, inositol trisphosphate receptor 1 antagonist and a voltage-independent activator of the ryanodine receptors, mild euphoriant, stimulant of the methylxanthine class, world's most widely consumed psychoactive drug
related to Combinations with other drugs · 9
Caffeine → Drug Administration, In, Painkillers, Some, Such, The, The ECA, United States Food, Ya
related to Pharmacokinetics · 9
Caffeine → AUC, Caffeine's, Cmax, However, In, It, Luvox, Peak, The
related to Alcohol · 8
Caffeine → According, Alcohol, Americans, DSST, For, However, The Dietary Guidelines, When

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

coffee effects also consumption may mg tea adenosine use drinks used per found intake receptor beverages receptors consumed two drug

Caffeine relationships Subject–Predicate–Object triples

TTTA extracted 304 structured relationships around Caffeine. Examples in this analysis include Caffeine → 3D model (JSmol) → Interactive image and Caffeine → Addiction liability → None. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Caffeine3D model (JSmol)Interactive image1.00infobox
CaffeineAddiction liabilityNone1.00infobox
CaffeineAHFS/Drugs.comMonograph1.00infobox
CaffeineATC codeN06BC01 (WHO) D11AX26 (WHO), V04CG30 (WHO)1.00infobox
CaffeineBioavailability99%1.00infobox
CaffeineCAS Number58-08-21.00infobox
CaffeineChEBICHEBI:277321.00infobox
CaffeineChEMBLChEMBL1131.00infobox
CaffeineChemSpider24241.00infobox
CaffeineCompTox Dashboard (EPA)DTXSID00202321.00infobox
CaffeineDensity1.23 g/cm31.00infobox
CaffeineDependence liabilityPhysical: Low–moderate (9–30%) Psychological: Low–moderate1.00infobox
CaffeineDrug classStimulant; Adenosinergic; Eugeroic; Nootropic; Anxiogenic; Analeptic; PDE inhibitor; Diuretic1.00infobox
CaffeineDrugBankDB002011.00infobox
CaffeineDuration of action3–4 hours1.00infobox
CaffeineECHA InfoCard100.000.3291.00infobox
CaffeineElimination half-lifeAdults: 3–7 hours Infants (full term): 8 hours Infants (premature): 100 hours1.00infobox
CaffeineExcretionUrine (100%)1.00infobox
CaffeineFormulaC8H10N4O21.00infobox
CaffeineIUPHAR/BPS4071.00infobox
CaffeineKEGGD005281.00infobox
CaffeineLegal statusAU: Unscheduled1.00infobox
CaffeineLegal statusBR: Unscheduled1.00infobox
CaffeineLegal statusCA: Unscheduled1.00infobox
CaffeineLegal statusDE: Unscheduled1.00infobox
CaffeineLegal statusNZ: Unscheduled1.00infobox
CaffeineLegal statusUK: General sales list (GSL, OTC)1.00infobox
CaffeineLegal statusUS: Unscheduled1.00infobox
CaffeineLegal statusUN: Unscheduled1.00infobox
CaffeineLegal statusCN: OTC SE: Unscheduled[a]1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Caffeine bring nearby vocabulary together. In this analysis, examples include Coffee, Effects and Mg. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Caffeine
    • Coffee
    • Effects
    • Mg
    • May
    • Consumption
    • Also
    • Drinks
    • Adenosine
    • Use
    • Found
    • Per
    • Intake
  • caffeine
    • Coffee
    • Effects
    • Mg
    • May
    • Consumption
    • Also
    • Drinks
    • Adenosine
    • Use
    • Found
    • Per
    • Intake
  • caffeinated drinks
    • Tea
    • Sources
    • Coffee
    • Consumption
    • Adults
    • High
    • Used
    • Drug
    • Also
    • Beverages
    • Effects
    • Intake
  • used recreationally
    • Drinks
    • Less
    • Sources
    • Also
    • Coffee
    • Tea
    • Caffeine
    • Adults
    • Alcohol
    • Drug
    • Performance
    • Body
  • coffee bean
    • Tea
    • Drinks
    • Sources
    • Two
    • Mg
    • Less
    • Beverages
    • Intake
    • Use
    • Consumption
    • High
    • Found
  • coffee plant
    • Tea
    • Drinks
    • Sources
    • Two
    • Mg
    • Less
    • Beverages
    • Intake
    • Use
    • Consumption
    • High
    • Found
  • beverages
    • Drug
    • Tea
    • Use
    • Alcohol
    • Performance
    • Food
    • Coffee
    • Drinks
    • Caffeine
    • Effects
    • Adults
    • Body
  • coffee
    • Tea
    • Drinks
    • Sources
    • Two
    • Mg
    • Less
    • Beverages
    • Intake
    • Use
    • Consumption
    • High
    • Found

Connections between topic areas Semantic bridges

For Caffeine, one of the stronger structural bridges in this analysis connects Caffeine 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.

Min side: 3
Caffeine — Overview · splits 231 ⟂ 185
Caffeine — Pharmacology · splits 371 ⟂ 45
Caffeine — Chemistry · splits 371 ⟂ 45
Caffeine — History · splits 378 ⟂ 38
Caffeine — Adverse effects · splits 397 ⟂ 19
Caffeine — Products · splits 397 ⟂ 19
Caffeine — Overdose · splits 402 ⟂ 14
Caffeine — Uses · splits 403 ⟂ 13
Caffeine — Interactions · splits 404 ⟂ 12
Caffeine — Natural occurrence · splits 408 ⟂ 8
Caffeine — Society and culture · splits 408 ⟂ 8
Caffeine — Other organisms · splits 412 ⟂ 4
Caffeine — Research · splits 413 ⟂ 3

Map overview Semantic statistics

Caffeine

Nodes416
Edges415
Triples304
Avg. degree2
Density0.004808
Components1

Source & methodology

TTTA analyzes the structure around Caffeine to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Caffeine · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.