Evidence map›Paper›PMID 30648574›Full record

ReviewJournal of food and drug analysis2019

Novel technologies in detection, treatment and prevention of substance use disorders.

Hichem Moulahoum, Figen Zihnioglu, Suna Timur, Hakan Coskunol

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of food and drug analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  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

4 authors at 1 institution in 1 country.

Hichem MoulahoumBiochemistry Department, Faculty of Science, Ege University, Bornova, Izmir 35100, Turkey.
Figen ZihniogluBiochemistry Department, Faculty of Science, Ege University, Bornova, Izmir 35100, Turkey.
Suna TimurBiochemistry Department, Faculty of Science, Ege University, Bornova, Izmir 35100, Turkey.
Hakan CoskunolAddiction Treatment Center, Faculty of Medicine, Ege University, Bornova, Izmir 35100, Turkey.
Ege University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substance use disorders are a widely recognized problem, which affects various levels of communities and influenced the world socioeconomically. Its source is deeply embedded in the global population. In order to fight against such an adversary, governments have spared no efforts in implementing substance abuse treatment centers and funding research to develop treatments and prevention procedures. In this review, we will discuss the use of immunological-based treatments and detection kit technologies. We will be detailing the steps followed to produce performant antibodies (antigens, carriers, and adjuvants) focusing on cocaine and methamphetamine as examples. Furthermore, part of this review is dedicated to substance use detection. Owing to novel technologies such as bio-functional polymeric surfaces and biosensors manufacturing, detection has become a more convenient method with the fast and on-site developed devices. Commercially available devices are able to test substance use disorders in urine, saliva, hair, and sweat. This improvement has had a tremendous impact on the prevention of driving under influence and other illicit behaviors. Lastly, substance abuse became a major issue involving the cooperation of experts on all levels to devise better treatment programs and prevent abuse-based accidents, injury and death.

Indexed as

AnimalsHumansIllicit DrugsImmunologic TechniquesSalivaSubstance-Related DisordersSweatIllicit DrugsBiosensorsCocaine/methamphetamineDrug detectionImmunotherapySubstance use disorder

Identifiers

PMID30648574
PMCPMC9298618
OpenAlexW2892481576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.