ArticleLasers in medical science2014
Role of low-intensity laser therapy on naloxone-precipitated morphine withdrawal signs in mice: is nitric oxide a possible candidate mediator?
Article in Lasers in medical science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Efficacy of Repeated Low-Level Red Light (RLRL) therapy on myopia outcomes in children: a systematic review and meta-analysis.BMC ophthalmology · 2024Pooled it
- Review
- Choroidal thickness, myopia, and myopia control interventions in children: a Meta-analysis and systemic review.International journal of ophthalmology · 2023Article
- The Role of Low-Level Laser Therapy in the Treatment of Multiple Sclerosis: A Review Study.Journal of lasers in medical sciences · 2021Review
- Orthokeratology and Low-Intensity Laser Therapy for Slowing the Progression of Myopia in Children.BioMed research international · 2021Article
- A Review of Low-Level Laser Therapy for Spinal Cord Injury: Challenges And Safety.Journal of lasers in medical sciences · 2020Review
- The Effect of Blood Loss in the Presence and Absence of Severe Soft Tissue Injury on Hemodynamic and Metabolic Parameters; an Experimental study.Emergency (Tehran, Iran) · 2015Article
Corrections and comments
- Erratum issuedSadeghipour, Hamidreza [corrected to Sadeghipour, Hamid Reza]
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present study, the potential involvement of nitric oxide (NO) system in attenuating effects of low-intensity laser therapy (LILT) on naloxone-induced morphine withdrawal signs was evaluated. A hundred mice were rendered morphine-dependent using three escalating doses of morphine sulfate during three consecutive days. After the last dose on day 4, animals were given naloxone HCl (2 mg/kg s.c) to induce withdrawal signs. The effects of LILT (12.5 J/cm(2)) and L-NG-nitroarginine methyl ester (L-NAME) (10, 20, 50, and 100 mg/kg) and their coadministration on escape jump count and stool weight as typical withdrawal signs were assessed. LILT and L-NAME (20, 50, and 100 mg/kg) per se significantly decreased escape jump count and stool weight in morphine-dependent naloxone-treated mice (p < 0.01). Coadministration of LILT and L-NAME (20, 50, and 100 mg/kg) also reduced escape jump and stool weight (p < 0.05) but with no synergetic or additive response. Here, LILT at this fluence may show its maximal effects on NO and therefore no noticeable effects appeared during coadministration use. Moreover, LILT and L-NAME follow the same track of changes in escape jump and stool weight. Conceivably, it seems that LILT acts partly via NO system, but the exact path is still obscure and rather intricate. The precise mechanisms need to be clarified.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.