Research any topic before you write.

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

MBDB: History, Applications, Research & Standards

MBDB, also known as N-methyl-1,3-benzodioxolylbutanamine or as 3,4-methylenedioxy-N-methyl-α-ethylphenylethylamine, is an entactogen of the phenethylamine, amphetamine, and phenylisobutylamine families related to MDMA. It is known by the nicknames "Eden" and "Methyl-J".

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%

MBDB topic overview

The analysis highlights History, Applications, Research and Standards as prominent areas in the source structure around MBDB.

Related topics
72
Source areas
6
Connected nodes
78
Extracted relationships
77
Concept neighborhoods
21
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.

Pharmacology · 27 topics
Use and effects · 16 topics
Overview · 13 topics
Chemistry · 12 topics
History · 2 topics
Research · 2 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
CAS Number
135795-90-3 Y
ChEMBL
ChEMBL268689
ChemSpider
111153
CompTox Dashboard (EPA)
DTXSID70894039
Drug class
Serotonin–norepinephrine releasing agent; Entactogen; Serotonergic neurotoxin

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

Use and effects

Pharmacology

Chemistry

History

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 MBDB connects Entity context

The extracted context around MBDB shows recurring relationship patterns in the source. For example, MBDB → Ariadne, BL-3912A, CPP, DOM, However, HT1A, HT2A, In, It, Its EC50Tooltip, Likewise, LSD, MDMA, On, SNRA, The, This Another extracted example is MBDB → Alexander Shulgin, Chemical Love Story, David, It, Its, MBDB's, MDMA, MDMA-like, Nichols, PiHKAL. Use these groups to spot repeated connection types before inspecting the individual relationships.

MBDB

Top relations

related to Pharmacodynamics · 17
MBDB → Ariadne, BL-3912A, CPP, DOM, However, HT1A, HT2A, In, It, Its EC50Tooltip, Likewise, LSD, MDMA, On, SNRA, The, This
has effect · 10
MBDB → Alexander Shulgin, Chemical Love Story, David, It, Its, MBDB's, MDMA, MDMA-like, Nichols, PiHKAL
related to Analogues · 10
MBDB → Analogues, BDB, BDP, EBDB, EBDP, MBDP, MDPEA, MPAP, PBDP, UWA-101
related to history · 6
MBDB → Alexander Shulgin, David, Nichols, Oberlender, Peyton Jacob III, Robert
related to External links · 5
MBDB → ErowidMETHYL-J, Isomer Design, Isomer DesignMBDB, METHYL-J, PiHKAL
Legal status · 4
MBDB → AU: S9 (Prohibited substance), DE: Anlage I (Authorized scientific use only), UK: Class A, US: Schedule I (Positional Isomer of MDEA)
related to Chemistry · 3
MBDB → Like MDMA, MDMA, Modification
3D model (JSmol) · 1
MBDB → Interactive image
CAS Number · 1
MBDB → 135795-90-3 Y
ChEMBL · 1
MBDB → ChEMBL268689

Important terminology

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

Important terminology

mdma effects serotonin drug schedule methyl-j use entactogen similarly substance scientific analogues norepinephrine isomer described less rodents substituted known euphoria

MBDB relationships Subject–Predicate–Object triples

TTTA extracted 77 structured relationships around MBDB. Examples in this analysis include MBDB → 3D model (JSmol) → Interactive image and MBDB → CAS Number → 135795-90-3 Y. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MBDB3D model (JSmol)Interactive image1.00infobox
MBDBCAS Number135795-90-3 Y1.00infobox
MBDBChEMBLChEMBL2686891.00infobox
MBDBChemSpider1111531.00infobox
MBDBCompTox Dashboard (EPA)DTXSID708940391.00infobox
MBDBDrug classSerotonin–norepinephrine releasing agent; Entactogen; Serotonergic neurotoxin1.00infobox
MBDBDuration of action4–8 hours1.00infobox
MBDBECHA InfoCard100.229.7981.00infobox
MBDBFormulaC12H17NO21.00infobox
MBDBKEGGC227861.00infobox
MBDBLegal statusAU: S9 (Prohibited substance)1.00infobox
MBDBLegal statusDE: Anlage I (Authorized scientific use only)1.00infobox
MBDBLegal statusUK: Class A1.00infobox
MBDBLegal statusUS: Schedule I (Positional Isomer of MDEA)1.00infobox
MBDBMelting point156 °C (313 °F)1.00infobox
MBDBMolar mass207.273 g·mol−11.00infobox
MBDBOther namesMethylbenzodioxolyl-butanamine; N-Methyl-1,3-benzodioxolylbutanamine; MBDB; 3,4-Methylenedioxy-N-methyl-butanphenamine; MDMB; 1,3-Benzodioxolyl-N-methylbutanamine; BDMB; 3,4-Met…1.00infobox
MBDBPubChem CID1248441.00infobox
MBDBRoutes of administrationOral1.00infobox
MBDBUNIIE8HMQ4F9JQ1.00infobox
MBDBcausesmany mild0.90text
MBDBis aserotonergic neurotoxin similarly to MDMA0.90text

Related concept clusters Concept neighborhoods

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

  • MBDB
    • Mdma
    • Effects
    • Drug
    • Substituted
    • Schedule
    • Analogues
    • Entactogen
    • Isomer
    • Psychedelic
    • Serotonergic
    • Similar
    • United
  • mbdb
    • Mdma
    • Effects
    • Drug
    • Substituted
    • Schedule
    • Analogues
    • Entactogen
    • Isomer
    • Psychedelic
    • Serotonergic
    • Similar
    • United
  • use and effects
    • Prohibited
    • Scientific
    • Substance
    • Drug
    • Legal
    • Psychedelic
    • Schedule
    • Status
    • 3-benzodioxolylbutanamine
    • 4-methylenedioxy-n-methyl-α-ethylphenylethylamine
    • Also
    • Eden
  • entactogen
    • N-methyl-1
    • Legal
    • Status
    • Amphetamine
    • Eden
    • Known
    • Mdea
    • Analogues
    • Isomer
    • Norepinephrine
    • Prohibited
    • Serotonergic
  • analogues
    • Methyl-j
    • Legal
    • Status
    • Eden
    • Mdea
    • N-methyl-1
    • Effects
    • Entactogen
    • Entactogens
    • Isomer
    • Norepinephrine
    • Prohibited
  • drug discrimination
    • Use
    • Legal
    • Status
    • Eden
    • Mdea
    • N-methyl-1
    • Mbdb
    • Entactogen
    • Isomer
    • Norepinephrine
    • Prohibited
    • Serotonergic
  • pharmaceutical drug
    • Use
    • Legal
    • Status
    • Eden
    • Mdea
    • N-methyl-1
    • Mbdb
    • Entactogen
    • Isomer
    • Norepinephrine
    • Prohibited
    • Serotonergic
  • isomer
    • Mdea
    • United
    • Methyl-j
    • Substance
    • Legal
    • Schedule
    • Status
    • N-methyl-1
    • Entactogens
    • Norepinephrine
    • Pihkal
    • Prohibited

Connections between topic areas Semantic bridges

For MBDB, one of the stronger structural bridges in this analysis connects MBDB with Pharmacology. 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
MBDBPharmacology · splits 51 ⟂ 28
MBDBUse and effects · splits 62 ⟂ 17
MBDBOverview · splits 65 ⟂ 14
MBDBChemistry · splits 66 ⟂ 13
MBDBHistory · splits 76 ⟂ 3
MBDBResearch · splits 76 ⟂ 3

Map overview Semantic statistics

MBDB

Nodes79
Edges78
Triples77
Avg. degree1.97
Density0.025316
Components1

Source & methodology

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

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

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