Product Images Estring

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 11 images provide visual information about the product associated with Estring NDC 0013-1042 by Pfizer Laboratories Div Pfizer Inc, 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.

Chemical Structure - estring 01

Chemical Structure - estring 01

logo - estring 02

logo - estring 02

Pfizer is a pharmaceutical company that is distributed by Pharmacia & Upjohn Company LLC, which is a subsidiary of Pfizer Inc. This text provides contact information and location details for Pfizer's headquarters in New York, NY 10017.*

Figure - estring 03

Figure - estring 03

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Figure - estring 04

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Figure - estring 05

Figure - estring 06

Figure - estring 06

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Figure - estring 07

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Figure - estring 08

logo - estring 09

logo - estring 09

Pfizer, a pharmaceutical company based in New York, distributes its products through its subsidiary, Pharmacia & Upjohn Company LLC.*

PRINCIPAL DISPLAY PANEL - 2 mg Pouch Label - estring 10

PRINCIPAL DISPLAY PANEL - 2 mg Pouch Label - estring 10

Estring is a vaginal system containing 2mg of estradiol, USP, that delivers 7.5mcg per day over 90 days. It is distributed by Pharmacia & Upjohn Company LLC as RX only medication. It should be stored at 15°C t0 25°C (59°F to 77°F) and is not child-resistant. Dosage and use information should be seen from accompanying prescribing information. The LOT and EXP numbers are not available.*

PRINCIPAL DISPLAY PANEL - 2 mg Pouch Carton - estring 11

PRINCIPAL DISPLAY PANEL - 2 mg Pouch Carton - estring 11

NDC 0013-1042-01 is an Rx-only product called 'Estring', manufactured by Pfizer, containing an estradiol vaginal system that delivers 7.5mcg per day. The second part of the given text is not readable and thus, not available for a description.*

* 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.