In glm explicitly search stats for family functions

I appreciate there are likely many places where calling a stats function via `::` and without the stats package being loaded could be problematic but would R core have any interest in adapting functions to accommodate this where possible?

The example I ran in to today can be seen below:

ex <- function() {
     counts <- c(18,17,15,20,10,20,25,13,12)
     outcome <- gl(3,1,9)
     treatment <- gl(3,3)
     stats::glm(counts ~ outcome + treatment, family = "poisson")
}

tools::R(ex)
#>
#> Call:  stats::glm(formula = counts ~ outcome + treatment, family = "poisson")
#>
#> Coefficients:
#> (Intercept)     outcome2     outcome3   treatment2   treatment3
#>   3.045e+00   -4.543e-01   -2.930e-01    6.972e-16    8.237e-16
#>
#> Degrees of Freedom: 8 Total (i.e. Null);  4 Residual
#> Null Deviance:	    10.58
#> Residual Deviance: 5.129 	AIC: 56.76

tools::R(ex, env=c("R_DEFAULT_PACKAGES=NULL"))
#> Error: error in inferior call:
#>   object 'poisson' of mode 'function' was not found

The second call fails due to the following line in glm:

if (is.character(family))
         family <- get(family, mode = "function", envir = parent.frame())

A non-breaking patch (AFAICT) could add an additional branch that explicitly searches a lookup of functions in the stats package if the above call to `get` failed.

Again I understand this could very much be a case of, "don't do that", but ...