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Addictive potential of novel treatments for refractory depression and anxiety

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2018
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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4 X users
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1 Facebook page

Citations

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27 Dimensions

Readers on

mendeley
138 Mendeley
Title
Addictive potential of novel treatments for refractory depression and anxiety
Published in
Neuropsychiatric Disease and Treatment, June 2018
DOI 10.2147/ndt.s167538
Pubmed ID
Authors

Dusan Kolar

Abstract

Treatment-resistant mood disorders and anxiety disorders require intensive treatment, but treatment options should balance benefits and adverse effects or other potential detrimental effects on patients, including the risk of developing prescription medication addiction. Some of the newer treatment modalities for mood and anxiety disorders may have similar properties to benzodiazepines. The goal of this review was to identify the potential for developing dependence on the novel treatment approaches to treatment-resistant depression and refractory anxiety disorders. PubMed, MEDLINE, PsycINFO, Ovid, Cochrane Library, and Google Scholar were searched. Ketamine is effective in improving symptoms of major depressive disorder, but with no sustained benefits. Long-term use of oral or intranasal ketamine formulations may be associated with the risk of developing dependence. Augmentation of stimulant medication is usually effective for residual symptoms of depression, but the effects are usually short lasting and there is a potential for abuse. Synthetic cannabinoids and medicinal cannabis are increasingly being prescribed for a number of medical conditions, including anxiety disorders, without enough evidence about their efficacy and with the risk of patients developing dependence. In summary, benzodiazepines, ketamine, stimulant medications, and cannabinoids have some common characteristics, including short-lasting benefits and the risk of developing prescription medication addiction with longer use. All of these treatments may raise ethical dilemmas about the appropriateness of prescribing these medications in the long run for patients with depression and anxiety disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 17%
Researcher 15 11%
Student > Master 13 9%
Other 11 8%
Student > Ph. D. Student 7 5%
Other 17 12%
Unknown 51 37%
Readers by discipline Count As %
Medicine and Dentistry 40 29%
Neuroscience 13 9%
Psychology 6 4%
Nursing and Health Professions 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 15 11%
Unknown 54 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 June 2018.
All research outputs
#14,789,745
of 25,382,440 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,343
of 3,131 outputs
Outputs of similar age
#174,441
of 342,877 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#36
of 78 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.