Evidence map›Paper›PMID 33530825›Full record

ArticleJournal of psychopharmacology (Oxford, England)2021

Developing a new national MDMA policy: Results of a multi-decision multi-criterion decision analysis.

Jan van Amsterdam, Gjalt-Jorn Ygram Peters, Ed Pennings, Tom Blickman, Kaj Hollemans, Joost J Jacobus Breeksema, Johannes G Ramaekers, Cees Maris, Floor van Bakkum, Ton Nabben and 5 more

Abstract read
In one paragraph

Article in Journal of psychopharmacology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. [Evolution and Application of Disease Control Priorities].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jan van AmsterdamDepartment of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-8847-4387
Gjalt-Jorn Ygram PetersFaculty of Psychology, Open University of the Netherlands, Heerlen, Netherlands.ORCID 0000-0002-0336-9589
Ed PenningsThe Maastricht Forensic Institute, Maastricht, The Netherlands.
Tom BlickmanTNI, Amsterdam, The Netherlands.
Kaj HollemansKH Legal Advice, Den Haag, The Netherlands.
Joost J Jacobus BreeksemaDepartment of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands; University Centre of Psychiatry, University Medical Centre Groningen, Groningen, The Netherlands.ORCID 0000-0002-8787-4610
Johannes G RamaekersDepartment of Neuropsychology and Psychopharmacology, Faculty of Neuroscience and Psychology, Maastricht University, Maastricht, The Netherlands.
Cees MarisFaculty of Law, University of Amsterdam, Amsterdam, The Netherlands.
Floor van BakkumJellinek, Amsterdam, The Netherlands.
Ton NabbenDepartment of Urban Management, Faculty Society and Law, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands.
Willem ScholtenWillem Scholten Consultancy, Lopik, The Netherlands.
Tjibbe ReitsmaStichting Drugsbeleid, Haarlem, The Netherlands.
Judith NoijenJellinek, Amsterdam, The Netherlands.ORCID 0000-0003-0684-2527
Raoul KoningJellinek, Amsterdam, The Netherlands.ORCID 0000-0003-1833-5696
Wim van den BrinkDepartment of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEcstasy (3,4-methylenedioxymethamphetamine (MDMA)) has a relatively low harm and low dependence liability but is scheduled on List I of the Dutch Opium Act ('hard drugs'). Concerns surrounding increasing MDMA-related criminality coupled with the possibly inappropriate scheduling of MDMA initiated a debate to revise the current Dutch ecstasy policy.

methodsAn interdisciplinary group of 18 experts on health, social harms and drug criminality and law enforcement reformulated the science-based Dutch MDMA policy using multi-decision multi-criterion decision analysis (MD-MCDA). The experts collectively formulated policy instruments and rated their effects on 25 outcome criteria, including health, criminality, law enforcement and financial issues, thematically grouped in six clusters.

resultsThe experts scored the effect of 22 policy instruments, each with between two and seven different mutually exclusive options, on 25 outcome criteria. The optimal policy model was defined by the set of 22 policy instrument options which gave the highest overall score on the 25 outcome criteria. Implementation of the optimal policy model, including regulated MDMA sales, decreases health harms, MDMA-related organised crime and environmental damage, as well as increases state revenues and quality of MDMA products and user information. This model was slightly modified to increase its political feasibility. Sensitivity analyses showed that the outcomes of the current MD-MCDA are robust and independent of variability in weight values.

conclusionThe present results provide a feasible and realistic set of policy instrument options to revise the legislation towards a rational MDMA policy that is likely to reduce both adverse (public) health risks and MDMA-related criminal burden.

Indexed as

Health PolicyPolicy MakingCrimeDecision Support TechniquesHallucinogensHumansNetherlandsN-Methyl-3,4-methylenedioxyamphetamineSubstance-Related DisordersHallucinogensN-Methyl-3,4-methylenedioxyamphetamineadverse effectscriminalityEcstasyMCDAMDMArisk assessmentXTC

Identifiers

PMID33530825
PMCPMC8155737

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.