Product Images Tri-lo- Estarylla

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Tri-lo- Estarylla NDC 63629-2351 by Bryant Ranch Prepack, 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.

Fig 2

Fig 2

Label - lbl636292351

Label - lbl636292351

This is a description of a medication named VSN #0516 YO Yueqing. The blister pack contains 28 white tablets of norgestimate and ethinyl estradiol, seven light blue tablets containing 0.215 mg of norgestimate and 0.025 mg of ethinyl estradiol, seven blue tablets containing 0.25 mg of norgestimate and 0.025 mg of ethinyl estradiol, and seven inert green tablets. It is advised to store the medication at a temperature between 20°-25°C and out of children's reach. The medication is not child resistant and should be protected from light. The package has an NDC number of 63629-2351-1 and contains 84 tablets.*

Figure - ortho tri cyclen 09

Figure - ortho tri cyclen 09

structure - structure

structure - structure

HONZ Norgestimate Ethinyl Estradiol is a medication used as a birth control pill. It contains both norgestimate and ethinyl estradiol as active ingredients that work together to prevent ovulation and pregnancy. This medication should be taken exactly as prescribed by your healthcare provider to achieve maximum effectiveness. It is important to note that HONZ Norgestimate Ethinyl Estradiol does not protect against sexually transmitted infections.*

tri-lo - tri lo estarylla

tri-lo - tri lo estarylla

Tri-Lo-Estarylla is a type of birth control pill that contains both Norgestimate and Ethinyl Estradiol Tablets, USP. It comes in two different strengths: 0.18mg/0.025 mg and 0.215 mg/0.025 mg.*

* 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.