Evidence map›Paper›PMID 32731868›Full record

ArticleBMC medicine2020

"The post-COVID era": challenges in the treatment of substance use disorder (SUD) after the pandemic.

Hugo López-Pelayo, Henri-Jean Aubin, Colin Drummond, Geert Dom, Francisco Pascual, Jürgen Rehm, Richard Saitz, Emanuele Scafato, Antoni Gual

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
11.9field-weighted citation impact, top 1% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

  1. Digital Help for Substance Users (SU): A Systematic Review.International journal of environmental research and public health · 2022
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  17. COVID 19-impact on substance use treatment utilization and provision in South Africa.Substance abuse treatment, prevention, and policy · 2022
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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

9 authors at 9 institutions in 9 countries.

Hugo López-PelayoGrup Recerca Addiccions Clínic (GRAC-GRE), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic Barcelona, Rosselló 149, 08036, Barcelona, Spain. hlopez@clinic.cat.ORCID 0000-0002-3850-8374
Henri-Jean AubinDépartement de psychiatrie et d'addictologie, Université Paris-Saclay, Route de l'Orme aux Merisiers - RD 128 91190 Saint-Aubin, Paris, France.
Colin DrummondAddiction Psychiatry, Addictions Department, National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience King's College, 16 De Crespigny Park, Camberwell, London, SE5 8AF, UK.
Geert DomAntwerp University (UA, CAPRI), Antwerp, Belgium.
Francisco PascualSOCIDROGALCOHOL, Barcelona, Spain.
Jürgen RehmInstitute for Mental Health Policy Research & Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Canada.
Richard SaitzDepartment of Community Health Sciences (CHS), Boston University School of Public Health, 715 Albany St, Boston, MA, 02118, USA.
Emanuele ScafatoWHO Collaborating Centre on Research and Health-Osservatorio Nazionale Alcol, Promotion on Alcohol and Alcohol-related Health, Problems (ITA-79), Istituto Superiore di Sanità, Rome, Italy.
Antoni GualGrup Recerca Addiccions Clínic (GRAC-GRE), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic Barcelona, Rosselló 149, 08036, Barcelona, Spain.
Boston University · USCentre for Addiction and Mental Health · CAConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESInserm · FRIstituto Superiore di Sanità · ITKing's College London · GBSpanish Society of Family and Community Medicine · ESUniversity of Alicante · ESUniversity of Antwerp · BE

Funding

Instituto de Salud Carlos III JR19/00025
6 · The paper itself

Abstract

backgroundCitizens affected by substance use disorders are high-risk populations for both SARS-CoV-2 infection and COVID-19-related mortality. Relevant vulnerabilities to COVID-19 in people who suffer substance use disorders are described in previous communications. The COVID-19 pandemic offers a unique opportunity to reshape and update addiction treatment networks. MAIN BODY: Renewed treatment systems should be based on these seven pillars: (1) telemedicine and digital solutions, (2) hospitalization at home, (3) consultation-liaison psychiatric and addiction services, (4) harm-reduction facilities, (5) person-centered care, (6) promote paid work to improve quality of life in people with substance use disorders, and (7) integrated addiction care. The three "best buys" of the World Health Organization (reduce availability, increase prices, and a ban on advertising) are still valid. Additionally, new strategies must be implemented to systematically deal with (a) fake news concerning legal and illegal drugs and (b) controversial scientific information.

conclusionThe heroin pandemic four decades ago was the last time that addiction treatment systems were updated in many western countries. A revised and modernized addiction treatment network must include improved access to care, facilitated where appropriate by technology; more integrated care with addiction specialists supporting non-specialists; and reducing the stigma experienced by people with SUDs.

Indexed as

BetacoronavirusComorbidityCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralQuality of LifeSARS-CoV-2Severe Acute Respiratory SyndromeSubstance-Related DisordersTelemedicineAddictionsCOVID-19Harm-reductionStigmaSubstance use disorderTelemedicine

Identifiers

PMID32731868
PMCPMC7392642
OpenAlexW3045706432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.