Equaline Tioconazole 1 Ointment
Product Images NDC 41163-032

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Equaline Tioconazole 1 (NDC 41163-032). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by United Natural Foods, Inc. Dba Unfi, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Tioconazole 1 Image (426 El Tioconazole 1 Image)

Tioconazole 1 Image (426 El Tioconazole 1 Image)
This is a description of a one-dose treatment for vaginal yeast infections manufactured by Equaline. The treatment contains the active ingredient Tioconazole (6.96%) and comes with a pre-filled applicator. This product can cure most vaginal yeast infections, but it is intended for vaginal use only and should not be used if the patient has never had a vaginal yeast infection diagnosed by a doctor. The container holds 0.16 ounces (4.6g) of ointment, and the package also contains drug facts and instructions for use. The manufacturer advises against using this product if the patient is pregnant or breastfeeding and recommends that any questions or concerns should be addressed by a healthcare professional.*
FDA Label Image

Image 1 (Image 01)

FDA Label Image

Figure 1 (Image 02)

Figure 1 (Image 02)
This appears to be a product label for a plunger. The text includes the word "PLUNGER" along with "BASE" and "TIP" which may refer to the different parts of the plunger. However, without further context or information, it is difficult to determine the exact nature or purpose of the plunger.*
FDA Label Image

Figure 2 (Image 03)

FDA Label Image

Figure 3 (Image 04)

FDA Label Image

Figure 4 (Image 05)

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.