Unconditional lower bound for volume of blowup $\mu(B^\epsilon)$ for $\mu(B) \in (0, 1)$ and $\epsilon > 0$ not "too large" For a Borel subset $B$ of a metric space $X = (X,d)$ and $\epsilon>0$, recall the defintion of the $\epsilon$-blowup of $B$, namely $B^\epsilon = \{x \in X | d(x,B) \le \epsilon\}$. Let $\mu$ be a probability measure on $X$, and suppose $0 < \mu(B) < 1$. Under certain conditions (on $\mu$), we know that $1-\mu(B^\epsilon)$ decreases exponentially with increasing $\epsilon \ge \epsilon_0$, where $\epsilon_0>0$ is some phase-transition point. This is the phenomenon of measure-concentration in metric spaces. For example, Corollary 1.1 of Otto-Villani (2000) shows such a result with $\epsilon_0 = \sqrt{2\log(1/\mu(B))}$ for measures satisfying the Talagrand transportation-cost inequality.
Question
Can one have an unconditional upper bound (maybe something not exponential, but polynomial in $\epsilon$) for $1-\mu(B^\epsilon)$ valid for "small" $\epsilon$, say for all $\epsilon \le \epsilon_0' < \epsilon_0$ ?
Clarifications
Unconditional, meaning not assuming any magical properties on $\mu$, like log-concavity, etc.
Polynomial, meaning something like $1-\mu(B^\epsilon) \le \epsilon poly(\epsilon)$.
 A: Unconditional? Certainly not. E.g., suppose that $\mu$ is the standard Gaussian measure on $\mathbb R^d$ and $B$ is the ball of radius $r>0$ centered at $0$. Then for any $\delta\in(0,1)$, by the law of large numbers,
$$1-\mu(B^\epsilon)=P\Big(\frac1d\sum_1^d Z_i^2>\frac{(r+\epsilon)^2}d\Big)\to1$$
for $d\to\infty$ and $\epsilon\in(0,(1-\delta)\sqrt d-r\,]$, where $Z_1,Z_2,\dots$ are iid $N(0,1)$. So, asymptotically there is no decrease at all in $\epsilon\le(1-\delta)\sqrt d-r$. So, any bound of the form $1-\mu(B^\epsilon)\le\epsilon\,\text{poly}(\epsilon)$ will not hold in this example. 
Added in response to the comment "What about for $\epsilon\le2\log(1/\mu(B))$?" by the OP: $\quad$ As above, let $\mu$ be the standard Gaussian measure on $\mathbb R^d$. 
As usual, let $\Phi$ denote the cdf of $N(0,1)$. 
Fix any real $a$ and let $B:=(-\infty,a)\times\mathbb R^{d-1}$. 
Then $\mu(B)=\Phi(a)$, $\epsilon_0:=2\log(1/\mu(B))=2\ln(1/\Phi(a))$, and $$g(\epsilon):=1-\mu(B^\epsilon)=1-\Phi(a+\epsilon)$$ 
decreases from the constant $g(0)=1-\Phi(a)$ to the constant $g(\epsilon_0)=1-\Phi(a+\epsilon_0)=1-\Phi(a+2\ln(1/\Phi(a)))>0$ as $\epsilon$ increases from $0$ to $\epsilon_0=2\ln(1/\Phi(a))$. So, $1-\mu(B^\epsilon)$ does not decrease polynomially in $\epsilon$ as $\epsilon$ increases from $0$ to $\epsilon_0=2\log(1/\mu(B))$. 
In particular, taking here $a=0$, we see that $1-\Phi(a+\epsilon)$ decreases from $1-\Phi(0)=0.5$ only to $1-\Phi(2\ln2)\approx0.08$ as $\epsilon$ increases from $0$ to $2\log(1/\mu(B))$. Now taking $a=3$, we see that $1-\Phi(a+\epsilon)$ decreases from $\approx0.001350$ only to $\approx0.001338$ as $\epsilon$ increases from $0$ to $2\log(1/\mu(B))$ -- almost no decrease. 
