Product Images Walgreens Lubricant Eye Drops Restorative Performance

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The following 2 images provide visual information about the product associated with Walgreens Lubricant Eye Drops Restorative Performance NDC 0363-1474 by Walgreen 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.

Walgreens Lubricant Eye Drops - Walgreens Lubricant Eye Drops 0.5oz carton

Walgreens Lubricant Eye Drops - Walgreens Lubricant Eye Drops 0.5oz carton

This is a description and information on Walgreens Lubricant Eye Drops, with an active ingredient of 0.6% Propylene glycol. The product is designed to temporarily relieve dryness of the eyes. The user is advised not to use the product if the container color has changed, or if they are sensitive to any ingredients. The product must not be touched to any surface to avoid contamination. The user should instill 1-2 drops in the affected eye(s). The product is made in Korea and distributed by Walgreen Co. It is compared to Systane Balance Lubricant Eye Drops. This is a drug facts sheet for the product.*

Walgreens Lubricant Eye Drops Twin Pack - Walgreens Lubricant Eye Drops 0.5oz twin pk carton

Walgreens Lubricant Eye Drops Twin Pack - Walgreens Lubricant Eye Drops 0.5oz twin pk carton

This is a drug fact sheet for Walgreens' Lubricant Eye Drops. The active ingredient is Propylene glycol 0.6% and it can be used for temporary relief of burning and irritation due to dryness of the eye. It cannot be used if the product has changed color or the user is sensitive to any of its ingredients. The product must be stored at room temperature and should not be used if the neck band on the bottle is broken or missing. If eye pain, changes in vision occur, or redness or irritation of the eye(s) worsens or persists for over 72 hours, it is advised to stop using the product and consult with a doctor.*

* 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.