Product Images Preferred Plus 12 Hour Nasal Extra Moisturizing
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 2 images provide visual information about the product associated with Preferred Plus 12 Hour Nasal Extra Moisturizing NDC 61715-047 by Kinray, 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.
image of carton - Preferred Plus Nasal Spray ExMoisturizing carton 2008 feb 26
This is a Drug Facts label for a nasal spray product. The label contains information about the active ingredient, warnings, directions, and inactive ingredients of the product. The product is a nasal decongestant that temporarily relieves nasal congestion due to common cold, hay fever, sinusitis, and upper respiratory allergies. However, it warns that it should not be used for more than three days and may cause temporary discomfort. The product should not be used by people with certain medical conditions, and it should be kept out of reach of children. The nasal spray is contained in a bottle with a printed neckband and a safety seal that should not be broken or missing.*
image of label - Preferred Plus Nasal Spray Labels ExMoist 02 18 08
This is a label of a bottle of nasal decongestant spray with the brand name "Stockton" and an extra moisturizing feature. The bottle contains 1 fl.oz or 30 mL of spray with Oxymetazoline Hydrochloride 0.05%. The manufacturer is listed as Kinegy, Inc. with an address in Whitestone, New York. The label also includes information regarding the directions for use, warnings, and the modification date which was last updated on February 18th, 2008. The label also includes information on the design of the bottle, which was presumably produced by the company located at 5728 Salerno Road W, Jacksonville, FL 32244.*
* 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.