Product Images Agingeye Relief
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Product Label Images
The following 2 images provide visual information about the product associated with Agingeye Relief NDC 17312-027 by Trp Company, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
TRP AGE DROP CTN 2 17 20 r55
These are instructions for AgingEye Relief, a homeopathic treatment for various eye symptoms such as dryness, tiredness, and cloudiness. The product contains various natural ingredients such as Calencuia offinalis and Cineraria marima. The active ingredients provide temporary relief from symptoms after serious causes have been ruled out by a physician. The product comes with various warnings, such as consulting a physician before use, especially for pregnant or breastfeeding women, and avoid contamination. The product can be used with eye health supplements and is available in a 0.33 fl oz (10ml) container. Instructions for use include using 1-3 drops in the eye several times a day as needed. The product claims are based on traditional homeopathic practice, not accepted medical evidence. There is additional information in Spanish on the label.*
Label - TRP AGE DROP LBL
AgingEye Relief is a homeopathic, sterile eye drop that uses active ingredients which have been officially monographed in the Homeopathic Pharmacopoeia of the United States. These are micro-diluted in accordance with that book to create a medication that is non-toxic, has no known side effects or contraindications and may help support healthy macular and corneal. The drops may be used to treat infections and relieve the symptoms of the aging eye. Suitable for adults and children over 2 years of age, please consult a physician before use in children under 2 years. Store the bottle between 15° to 30°C (59° to 86°F) and use it within 30 days of opening to avoid contamination.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.
