Product Images Nighttime Relief Lubricant

View Photos of Packaging, Labels & Appearance

Product Label Images

The following image provide visual information about the product associated with Nighttime Relief Lubricant NDC 46122-757 by Amerisource Bergen Drug Corp., 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.

GNP Nighttime Relief Lubricant Eye Ointment 3.5g - KC DL GNP Nighttime Relief Lubricant Eye Ointment

GNP Nighttime Relief Lubricant Eye Ointment 3.5g - KC DL   GNP Nighttime Relief Lubricant Eye Ointment

This product is a nighttime relief lubricant eye ointment, designed to provide temporary relief from burning, irritation, and discomfort due to dryness of the eye or exposure to wind or sun. It can also be used as a protectant against further irritation. The ointment contains light mineral oil and white petrolatum as active ingredients, and it is preservative-free. It should be used externally only, and contact lenses should be removed before applying the ointment. If any pain, changes in vision, redness, or irritation of the eye occurs, or if the condition worsens or persists for more than 72 hours, a doctor should be consulted. The product should be stored at a temperature between 15-25°C (59-77°F), and it should not be frozen. The tube should be kept tightly closed, and it should not be used if difficult to dispense or if visible particles are seen in the product. The tube should not be rolled, bent, twisted, or folded during use. The ointment should be applied by pulling down the lower lid of the affected eye and applying a small amount (1/4 inch) of ointment to the inside of the eyelid. The product is distributed by AmerisourceBergen and manufactured in South Korea. For more information and complete warnings, the outer carton should be kept.*

* 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.