Product Images Goniovisc Ophthalmic Lubricant

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Product Label Images

The following 2 images provide visual information about the product associated with Goniovisc Ophthalmic Lubricant NDC 17238-610 by Hub Pharmaceuticals, Llc, 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.

Goniovisc Bottle Label - Goniovisc Bottle Label

Goniovisc Bottle Label - Goniovisc Bottle Label

This is a drug fact sheet for GONIOVISC Eye Lubricant, containing Hypromellose USP 25 mg (2.5%). The solution is designed to prevent further irritation, or relieve dryness of the eye as a lubricant. If you experience any discomfort, changes in vision or signs of irritation, discontinue use, and consult a doctor. The solution is for use in the eyes only, and instructions are provided to instill 1 or 2 drops in the affected eye(s) as needed. It contains boric acid, edetate disodium, hydrochloric acid, sodium hydroxide, and sodium borate with benzalkonium chloride as the preservative. It should be stored at 15°-30°C but not frozen. The product is manufactured for and distributed by HUB Pharmaceuticals, LLC, and is available in a 15 mL sterile bottle.*

Goniovisc Box Label - Goniovisc Box Label

Goniovisc Box Label - Goniovisc Box Label

GONIOVISC Eye Lubricant is a sterile and preservative eye drops solution containing Hypromellose USP 25mg (25%) to avoid eye irritations and relieve dryness of the eye. This product is for external use only, always seal the bottle tip after use and avoid touching it to any surface to prevent contamination. If you experience eye pain, changes in vision, or continued redness or irritation of the eye, discontinue the use and contact a doctor. Keep out of reach of children, and store it at room temperature (15°-30°C/59°-86°F) and get medical help if an overdose happens.*

* 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.