Product Images Pvp-iodine Swabstick Threes
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Pvp-iodine Swabstick Threes NDC 65517-0033 by Dukal 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.
This is a drug facts label for Povidone-lodine Antiseptic Swabsticks. It states that the active ingredient is Povidone lodine USP 10%, which is an antiseptic. It is used for patient preoperative skin preparation to reduce bacteria that can potentially cause skin infections. The label also includes manufacturing information and some illegible text.*
This is a product label for Povidone-Iodine Antiseptic Swabsticks. Each swab contains 10% Povidone Iodine USP and can be used for preoperative skin preparation to reduce bacteria that may cause skin infection. The label also indicates that the product is sterile. The text includes some manufacturing details such as the fact that the product is made in China. The remaining text appears to be random output and is not comprehensible.*
This is a drug label for Povidone Iodine Antiseptic Swabsticks. It contains information on active ingredients, usage, and manufacturing details. The text is in English and there is no additional information available.*
The text seems to be a mixture of product code and name, "POVIDONE-IODINE" repeated multiple times along with some other technical notations like "REF" and a number "883-500". However, without additional context or clarity, it is difficult to provide a more specific or useful description.*
These are sterile Povidone-Iodine swabsticks used as a drug. Not available for use with Hturl FubberLtex.*
This appears to be a product description for Povidone-Iodine Swabsticks. The swabsticks come in boxes with 25 per box and there are 10 boxes per case.*
* 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.