Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Nicotine is a stimulant and alkaloid found primarily in plants of the nightshade family, notably in tobacco; it is also synthesized. Nicotine is used recreationally for its stimulant and anxiolytic effects. In tobacco leaves, nicotine constitutes about 0.6–3.0% of the dry weight, and smaller, trace quantities occur in other Solanaceae crops such as…
The analysis highlights History, Community, Culture and Applications as prominent areas in the source structure around Nicotine.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Nicotine shows recurring relationship patterns in the source. For example, Nicotine → Adolf Pinner, Amé Pictet, Europe, French, French King, Germany, However, Its, Jean Nicot, Karl Ludwig Reimann, Melsens, Nicotiana, Paris, Portugal, Richard Wolffenstein, Rotschy, Smoking, Spanish, Villemain, Wilhelm Heinrich Posselt Another extracted example is Nicotine → At, Green Tobacco Sickness, GTS, Health, Health Administration, More, NIOSH, Occupational Safety, OSHA, People, REL, The Occupational Safety, The US National Institute, This, Today. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
tobacco smoking effects use nicotinic may products used found also receptors form studies cigarettes synthetic dependence levels exposure associated acetylcholine
TTTA extracted 299 structured relationships around Nicotine. Examples in this analysis include Nicotine → 3D model (JSmol) → Interactive image and Nicotine → Addiction liability → Very high. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Nicotine | 3D model (JSmol) | Interactive image | 1.00 | infobox |
| Nicotine | Addiction liability | Very high | 1.00 | infobox |
| Nicotine | AHFS/Drugs.com | Monograph | 1.00 | infobox |
| Nicotine | ATC code | N07BA01 (WHO) QP53AX13 (WHO) | 1.00 | infobox |
| Nicotine | Bioavailability | Inhalation: 80–90% | 1.00 | infobox |
| Nicotine | Bioavailability | Intranasal: 60–80% | 1.00 | infobox |
| Nicotine | Bioavailability | Transdermal: 68–100% | 1.00 | infobox |
| Nicotine | Boiling point | 247 °C (477 °F) | 1.00 | infobox |
| Nicotine | CAS Number | 54-11-5 Y | 1.00 | infobox |
| Nicotine | ChEBI | CHEBI:18723 Y | 1.00 | infobox |
| Nicotine | ChEMBL | ChEMBL3 Y | 1.00 | infobox |
| Nicotine | ChemSpider | 80863 Y | 1.00 | infobox |
| Nicotine | Chirality | Chiral | 1.00 | infobox |
| Nicotine | CompTox Dashboard (EPA) | DTXSID1020930 | 1.00 | infobox |
| Nicotine | Density | 1.01 g/cm3 | 1.00 | infobox |
| Nicotine | Dependence liability | Physical: Low–moderate Psychological: High | 1.00 | infobox |
| Nicotine | Drug class | Nicotinic agonist; Stimulant; Nootropic; Euphoriant | 1.00 | infobox |
| Nicotine | DrugBank | DB00184 Y | 1.00 | infobox |
| Nicotine | ECHA InfoCard | 100.000.177 | 1.00 | infobox |
| Nicotine | Elimination half-life | 1–2 hours; 16–19 hours cotinine (range is 10–27 hours) | 1.00 | infobox |
| Nicotine | Excretion | Renal, urine pH-dependent; 10–20% (gum), 30% (inhaled); 10–30% (intranasal) | 1.00 | infobox |
| Nicotine | Formula | C10H14N2 | 1.00 | infobox |
| Nicotine | IUPHAR/BPS | 2585 | 1.00 | infobox |
| Nicotine | KEGG | D03365 Y | 1.00 | infobox |
| Nicotine | Legal status | AU: S7 (Dangerous drug) | 1.00 | infobox |
| Nicotine | Legal status | BR: Unscheduled | 1.00 | infobox |
| Nicotine | Legal status | CA: Unscheduled | 1.00 | infobox |
| Nicotine | Legal status | DE: Unscheduled | 1.00 | infobox |
| Nicotine | Legal status | NZ: Unscheduled | 1.00 | infobox |
| Nicotine | Legal status | UK: General sales list (GSL, OTC) | 1.00 | infobox |
The concept neighborhoods around Nicotine bring nearby vocabulary together. In this analysis, examples include Tobacco, Use and Effects. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Nicotine, one of the stronger structural bridges in this analysis connects Nicotine 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.
TTTA analyzes the structure around Nicotine 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 — Nicotine · EN edition · Analysis: TopicsToTalkAbout